Without doctors being able to explain medical decisions to patients, I argue their use of black box AIs would erode the effective and respectful care they provide patients. In addition, I argue that physicians should use AI black boxes only for patients in dire straits, or when physicians use AI as a “co-pilot” (analogous to a spellchecker) but can independently confirm its accuracy. I respond to A.J. London’s objection that physicians already prescribe some drugs without knowing why they (...) work. (shrink)

Volume 20, Issue 3, March 2020, Page 71-73.

Seit wenigen Jahren erfreuen sich in den Lebenswissenschaften mehrere Theorien eines immer weitergehenden Einflusses, die unter Etikettierungen wie Systembiologie, Netzwerktheorie oder Signalomics nur scheinbar unabhängige Herangehensweisen an komplexe Zusammenhänge darstellen. Navigation ist der übergreifende Gedanke, der so unterschiedliche Gebiete wie Regelungstheorie, Entscheidungstheorie und Systemwissenschaft verbindet. Navigation als Lage- und Kursbestimmung nebst den zugehörigen Signalverarbeitungsprozessen und Steuerkommandos ist die Grundlage dessen, was lebende Organismen von der blo§en Ansammlung materieller Ingredienzien unterscheidet – von der molekularen Ebene bis zum Sozialverhalten. Denn stets stellen (...) sich Prozesse des Lebens als solche des Suchens, Kommunizierens, Disponierens und Vervollkommnens dar, ob es sich nun um die Regulation der Sauerstoffspannung im Blut oder die Organisation eines Ameisenvolkes handelt. Navigationsaufgaben sind damit schließlich auch Fragestellungen ärztlicher Entscheidungsfindung, die sich in einem komplexen Raum aus individuellen, sozialen und ethischen Anforderungen entfalten. (shrink)

“Bodily autonomy” has received significant attention in bioethics, medical ethics, and medical law in terms of the general inviolability of a patient’s bodily sovereignty and the rights of patients to make choices (e.g., reproductive choices) that concern their own body. However, the role of the body in terms of how it can or does contribute to a patient’s capacity for, or exercises of their autonomy in clinical decision-making situations has not been explicitly addressed. The approach to autonomy in (...) this paper is aligned with traditional theories that conceive autonomy in terms of an individual’s capacities for, and exercises of rational reflection. However, at the same time, this paper extends these accounts by arguing that autonomy is, in part, embodied. Specifically, by drawing on phenomenological conceptions of the experience of autonomy, we argue that, in principle, the body is a necessary component of the capacity for autonomy. Secondly, through the presentation of two different cases, we highlight ways in which a patient’s body can contribute to the autonomy of treatment choices. Ultimately, we hope to encourage others to explore additional conditions under which a concept of embodied autonomy should be employed in medical decision making, how its underlying principles might be operationalised in clinical situations, and its consequences for approaches to patient autonomy in healthcare practice, policy, and law. (shrink)

Nancy Jecker and Andrew Ko (2017) wish to present an account of personal identity which captures what matters to the patient and places the patient at the center of medical decisions. They focus particularly on medical interventions in the brain that can cause drastic changes in personality; under what circumstances should we say the patient has 'survived' these changes? More specifically, how can we best understand the notion of survival in a way that captures what is of (...) concern to the patient? This goal is laudable, however, their chosen account of narrative identity is ill-suited to this task for one reason in particular; it does not give sufficient guidance in predicting which medical decisions are likely to be experienced as disruptive to identity. (shrink)

To assess whether UK and US health care professionals share the views of medical ethicists about medical futility, withdrawing/withholding treatment, ordinary/extraordinary interventions, and the doctrine of double effect. A 138-item attitudinal questionnaire completed by 469 UK nurses studying the Open University course on "Death and Dying" was compared with a similar questionnaire administered to 759 US nurses and 687 US doctors taking the Hastings Center course on "Decisions near the End of Life". Practitioners accept the relevance of (...) concepts widely disparaged by bioethicists: double effect, medical futility, and the distinctions between heroic/ordinary interventions and withholding/withdrawing treatment. Within the UK nurses' group a "rationalist" axis of respondents who describe themselves as having "no religion" are closer to the bioethics consensus on withholding and withdrawing treatment. Professionals' beliefs differ substantially from the recommendations of their professional bodies and from majority opinion in bioethics. Bioethicists should be cautious about assuming that their opinions will be readily accepted by practitioners. (shrink)

Forms of Artificial Intelligence (AI) are already being deployed into clinical settings and research into its future healthcare uses is accelerating. Despite this trajectory, more research is needed regarding the impacts on patients of increasing AI decision making. In particular, the impersonal nature of AI means that its deployment in highly sensitive contexts-of-use, such as in healthcare, raises issues associated with patients’ perceptions of (un) dignified treatment. We explore this issue through an experimental vignette study comparing individuals’ perceptions of being (...) treated in a dignified and respectful way in various healthcare decision contexts. Participants were subject to a 2 (human or AI decision maker) x 2 (positive or negative decision outcome) x 2 (diagnostic or resource allocation healthcare scenario) factorial design. We found evidence of a “human bias” (i.e., a preference for human over AI decision makers) and an “outcome bias” (i.e., a preference for positive over negative outcomes). However, we found that for perceptions of respectful and dignified interpersonal treatment, it matters more who makes the decisions in diagnostic cases and it matters more what the outcomes are for resource allocation cases. We also found that humans were consistently viewed as appropriate decision makers and AI was viewed as dehumanizing, and that participants perceived they were treated better when subject to diagnostic as opposed to resource allocation decisions. Thematic coding of open-ended text responses supported these results. We also outline the theoretical and practical implications of these findings. (shrink)

Thesis --University of Stellenbosch, 2004 Acceptance of the concept of medical futility facilitates a paradigm shift from curative to palliative medicine, accommodating a more humane approach and avoiding unnecessary suffering in the course of the dying process. This should not be looked upon as abandoning the patient but rather as providing the patient and family with an opportunity to come to terms with the dying process. It also does not entail withdrawal or passivity on the part of the health (...) care professional. In addition to medical skills, the treating physician is responsible for guiding this process by demonstrating sensitivity and compassion, respecting the values of patients, their families and the medical staff. The need for training to equip medical staff to take responsibility as empathetic participants in end-of-life decision-making is underscored. S Afr Med J 2008; 98: 284-286. (shrink)

Albert Jonsen and Stephen Toulmin have argued that the best way to resolve complex “moral” issues in clinical settings is to focus on the details of specific cases. This approach to medical decision-making, labeled ‘casuistry’, has met with much criticism in recent years. In response to this criticism, Carson Strong has attempted to salvage much of Jonsen’s and Toulmin’s version of casuistry. He concludes that much of their analysis, including Jonsen’s further elaboration about the casuistic methodology, is on the (...) mark. In this essay, the details of Jonsen’s and Toulmin’s version of casuistry and the major criticisms against their approach to clinical decision-making are explicated. Furthermore, it is argued that Strong’s salvage efforts fail to deflect these criticisms. The upshot of this analysis, which includes a few additional criticisms, is that Jonsen’s and Toulmin’s version of casuistry is not an appropriate framework from which to resolve complex “moral” issues in clinical settings. (shrink)

Recently, bioethicists and the UNCRPD have advocated for supported medical decision-making on behalf of patients with intellectual disabilities. But what does supported decision-making really entail? One compelling framework is Anita Silvers and Leslie Francis’ mental prosthesis account, which envisions supported decision-making as a process in which trustees act as mere appendages for the patient’s will; the trustee provides the cognitive tools the patient requires to realize her conception of her own good. We argue that supported decision-making would be better (...) understood as a collaborative process, giving patients with intellectual disabilities the opportunity to make decisions in a respectful relationship with trusted others. We offer an alternative account of supported decision-making where the primary constraint is to protect the patient from domination by the trustee. This is advantageous in its preservation of the prospects for genuine collaboration, for the mental prosthesis approach ultimately reinforces a problematic ideal of isolated patient self-determination. (shrink)

Decision-making capacity (DMC) plays an important role in clinical practice—determining, on the basis of a patient’s decisional abilities, whether they are entitled to make their own medical decisions or whether a surrogate must be secured to participate in decisions on their behalf. As a result, it’s critical that we get things right—that our conceptual framework be well-suited to the task of helping practitioners systematically sort through the relevant ethical considerations in a way that reliably and transparently delivers (...) correct verdicts about who should and should not have the authority to make their own medical decisions. Unfortunately, however, the standard approach to DMC does not get things right. It is of virtually no help in identifying and clarifying the relevant ethical considerations. And, embedded in the prevailing anti-paternalist paradigm, DMC assessments obfuscate and distort the underlying ethical justification for granting or withholding decisional authority. Here, we describe the core commitments of the standard approach to DMC and then highlight three problems with it. We then argue that these problems are significant enough that they call for more than merely tinkering and fine tuning—variations of the standard approach cannot adequately address them. Instead, we should ditch DMC. (shrink)

The objective of the paper is to implement and validate diagnosis in the medical field via refined neutrosophic fuzzy logic (RNFL). As such, we have proposed a Max-Min composition (MMC) method in RNFL. This method deals with the diagnosis under certain constraints like uncertainty and indeterminacy. Further, we have considered the diagnosis problems to validate the sensitivity analysis of the novel multi attribute decision-making technique. Finally, we gave the graphical representations and compared the obtained results with other existing measures (...) in refined neutrosophic fuzzy sets. (shrink)

Shared decision-making involves health professionals and patients/clients working together to achieve true person-centred health care. However, this goal is infrequently realized, and most barriers are unknown. Discussion between philosophers, clinicians, and researchers can assist in confronting the epistemic and moral basis of health care, with benefits to all. The aim of this paper is to describe what shared decision-making is, discuss its necessary conditions, and develop a definition that can be used in practice to support excellence in maternity care. Discussion (...) between the authors, with backgrounds in philosophy, clinical maternity care, health care management, and maternity care research, assisted the team to confront established norms in maternity care and challenge the epistemic and moral basis of decision-making for caesarean section. The team concluded that shared decision-making must start in pregnancy and continue throughout labour and birth, with equality in discourse facilitated by the clinician. Clinicians have a duty of care for the adequacy of women's knowledge, which can only be fulfilled when relevant knowledge is offered freely and when personal beliefs and biases that may impinge on decision-making (defeaters) are disclosed. Informed consent is not shared decision-making. Key barriers include existing cultural norms of “the doctor knows best” and “patient acquiescence” that prevent defeaters being acknowledged and discussed and can lead to legal challenges, overuse of medical intervention and, in some areas, obstetric violence. Shared decision-making in maternity care can thus be defined as an enquiry by clinician and expectant woman aimed at deciding upon a course of care or none, which takes the form of a dialogue within which the clinician fulfils their duty of care to the client's knowledge by making available their complete knowledge (based on all types of evidence) and expertise, including an exposition of any relevant and recognized potential defeaters. Research to develop measurement tools is required. (shrink)

In medical settings, machines are in close proximity with human beings: with patients who are in vulnerable states of health, who have disabilities of various kinds, with the very young or very old, and with medical professionals. Machines in these contexts are undertaking important medical tasks that require emotional sensitivity, knowledge of medical codes, human dignity, and privacy. -/- As machine technology advances, ethical concerns become more urgent: should medical machines be programmed to follow a (...) code of medical ethics? What theory or theories should constrain medical machine conduct? What design features are required? Should machines share responsibility with humans for the ethical consequences of medical actions? How ought clinical relationships involving machines to be modeled? Is a capacity for empathy and emotion detection necessary? What about consciousness? -/- The essays in this collection by researchers from both humanities and science describe various theoretical and experimental approaches to adding medical ethics to a machine, what design features are necessary in order to achieve this, philosophical and practical questions concerning justice, rights, decision-making and responsibility, and accurately modeling essential physician-machine-patient relationships. -/- This collection is the first book to address these 21st-century concerns. (shrink)

This article is about the information relevant to decision-making capacity in refusal of life-prolonging medical treatment cases. We examine the degree to which the phenomenology of the options available to the agent—what the relevant states of affairs will feel like for them—forms part of the capacity-relevant information in the law of England and Wales, and how this informational basis varies across adolescent and adult medical treatment cases. We identify an important doctrinal phenomenon. In the leading authorities, the courts (...) appear to count the first-personal phenomenology of the available options among the information that adolescents seeking to refuse life-prolonging treatment must understand and appreciate in order to possess capacity; adults are not held to this (higher) standard. We evaluate this differential treatment in light of philosophical work on transformative choice—decisions involving options whose sensory character, and effect on our values and preferences, are grasped only through experience itself. (shrink)

Machine intelligence already helps medical staff with a number of tasks. Ethical decision-making, however, has not been handed over to computers. In this proof-of-concept study, we show how an algorithm based on Beauchamp and Childress’ prima-facie principles could be employed to advise on a range of moral dilemma situations that occur in medical institutions. We explain why we chose fuzzy cognitive maps to set up the advisory system and how we utilized machine learning to train it. We report (...) on the difficult task of operationalizing the principles of beneficence, non-maleficence and patient autonomy, and describe how we selected suitable input parameters that we extracted from a training dataset of clinical cases. The first performance results are promising, but an algorithmic approach to ethics also comes with several weaknesses and limitations. Should one really entrust the sensitive domain of clinical ethics to machine intelligence? (shrink)

Shared Decision Making (‘SDM’) is one of the most significant developments in Western health care practices in recent years. Whereas traditional models of care operate on the basis of the physician as the primary medical decision maker, SDM requires patients to be supported to consider options in order to achieve informed preferences by mutually sharing the best available evidence. According to its proponents, SDM is the right way to interpret the clinician-patient relationship because it fulfils the ethical imperative of (...) respecting patient autonomy. However, there is no consensus about how decisions in SDM contexts relate to the principle of respect for autonomy. In response, I demonstrate that in order to make decisions about what treatment they will or will not receive, patients will be required to meet different conditions depending on the approach proponents of SDM take to understanding personal autonomy. Due to the fact that different conceptions of autonomy yield different obligations, I argue that if physicians and patients satisfied all the conditions described in standard accounts of SDM, then SDM would undermine patient autonomy. (shrink)

Advanced AI systems are rapidly making their way into medical research and practice, and, arguably, it is only a matter of time before they will surpass human practitioners in terms of accuracy, reliability, and knowledge. If this is true, practitioners will have a prima facie epistemic and professional obligation to align their medical verdicts with those of advanced AI systems. However, in light of their complexity, these AI systems will often function as black boxes: the details of their (...) contents, calculations, and procedures cannot be meaningfully understood by human practitioners. When AI systems reach this level of complexity, we can also speak of black-box medicine. In this paper, we want to argue that black-box medicine conflicts with core ideals of patient-centered medicine. In particular, we claim, black-box medicine is not conducive for supporting informed decision-making based on shared information, shared deliberation, and shared mind between practitioner and patient. (shrink)

According to many of its proponents, shared decision making ("SDM") is the right way to interpret the clinician-patient relationship because it respects patient autonomy in decision-making contexts. In particular, medical ethicists have claimed that SDM respects a patient's relational autonomy understood as a capacity that depends upon, and can only be sustained by, interpersonal relationships as well as broader health care and social conditions. This paper challenges that claim. By considering two primary approaches to relational autonomy, this paper argues (...) that standard accounts of SDM actually undermine patient autonomy. It also provides an overview of the obligations generated by the principle of respect for relational autonomy that have not been captured in standard accounts of SDM and which are necessary to ensure consistency between clinical practice and respect for patient autonomy. (shrink)

Artificial intelligence (AI) is expected to revolutionise the practice of medicine. Recent advancements in the field of deep learning have demonstrated success in variety of clinical tasks: detecting diabetic retinopathy from images, predicting hospital readmissions, aiding in the discovery of new drugs, etc. AI’s progress in medicine, however, has led to concerns regarding the potential effects of this technology on relationships of trust in clinical practice. In this paper, I will argue that there is merit to these concerns, since AI (...) systems can be relied on, and are capable of reliability, but cannot be trusted, and are not capable of trustworthiness. Insofar as patients are required to rely on AI systems for their medical decision-making, there is potential for this to produce a deficit of trust in relationships in clinical practice. (shrink)

In her debate with Michael Blake, Gillian Brock sets out to justify emigration restrictions on medical workers from poor states on the basis of their free-riding on the public investment that their states have made in them in form of a publicly funded education. For this purpose, Brock aims to isolate the question of emigration restrictions from the larger question of responsibilities for remedying global inequalities. I argue that this approach is misguided because it is blind to decisive factors (...) at play in the problem of medical brain drain and consequently distorts the different responsibilities this problem generates. Brock’s strategy, if successful, would effectively lead to punishing emigrating workers from poor states for the free-riding and exploitation that is committed by affluent states – which is a counter-intuitive result. (shrink)

: The Islamic jurists utilized the discipline of maqāṣid al-sharīʿah,in its capacity as the philosophy of Islamic law, in their legal and ethicalinterpretations, with added interest in addressing the issues of modern times.Aphoristically subsuming the major themes of the Sharīʿah, maqāṣid play apivotal role in the domain of decision-making and deduction of rulings onunprecedented ethical discourses. Ethics represent the infrastructure of Islamiclaw and the whole science of Islamic jurisprudence operates in the lightof maqāṣid to realize the ethics in people’s lives. (...) Scrutinizing the key themesof maqāṣid-based ijtihād and scope of ethics in maqāṣid, this article delvesinto the discourse on the application of maqāṣid to medical ethics. As a casestudy, this research analyses the extent of medical confidentiality in the light ofmaqāṣid and arrives at the conclusion that limited confidentiality goes more inline with the maxims of maqāṣid. (shrink)

This paper argues that the concept of paternalism is currently overextended to include a variety of actions that, while resembling paternalistic actions, are importantly different. I use the example of Japanese physicians’ non-disclosures of cancer diagnoses directly to patients, arguing that the concept of maternalism better captures these actions. To act paternalistically is to substitute one's own judgement for that of another person and decide in place of that person for his/her best interest. By contrast, to act maternalistically is to (...) decide for another person based on a reasonable understanding of that person's own preferences. The concept of maternalism allows for a more thorough assessment of the moral justification of these types of actions. I conclude that it is possible, at least in principle, to justify Japanese physicians’ non-disclosures, and that this justification must be based on an understanding of these actions as maternalistic. (shrink)

In this chapter, it is argued that some animal shelters fulfill the conditions that make triage protocols necessary, namely, the operation with limited financial budgets, space, medical resources, and staff. It is suggested that requirements presented for triage in humans can be fruitfully applied to the context of animal shelters. The focus lies on the criteria of maximizing benefit, justice, medical criteria, life-span considerations, fair decision-making, patient will, re-evaluation of triage decisions and changes in the therapeutic goal, (...) and burden of triage and staff support. The establishment of triage protocols for shelters will make the decision-making process less arbitrary, fairer, and more transparent. Furthermore, it is argued that, in situations where disagreement persist among shelter staff, an external Ethics Board could be called in to help analyze and potentially resolve some of the remaining ethical issues. (shrink)

Phenomenology gives rise to certain ontological considerations that have far-reaching implications for standard conceptions of patient autonomy in medical ethics, and, as a result, the obligations of and to patients in clinical decision-making contexts. One such consideration is the phenomenological reduction in classical phenomenology, a core feature of which is the characterisation of our primary experiences as immediately and inherently meaningful. This paper builds on and extends the analyses of the phenomenological reduction in the works of Husserl, Heidegger, and (...) Merleau-Ponty in order to identify and explain its implications for our current understanding of the principle of respect for patient autonomy and the norms of clinical decision making. (shrink)

Patients in Quebec can legally obtain medical assistance in dying (MAID) if they are able to give informed consent, have a serious and incurable illness, are at the end of their lives and are in a situation of unbearable suffering. Since the Supreme Court of Canada’s 2015 Carter decision, access to MAID, under certain conditions, has become a constitutional right. Quebec physicians are now likely to receive requests for MAID from their patients. The Quebec and Canadian laws recognize a (...) physician’s right to conscientious objection, but this right is contested both in the medical ethics literature and in the public sphere. This paper presents the results of a qualitative study conducted with twenty Quebec physicians who did not integrate MAID into their medical practice, either because they were opposed to or deeply ambivalent about MAID. The interviews aimed to explore the reasons – religious and secular – for opposition to or ambivalence towards MAID. The secular reasons given by participants were grouped into four main categories: 1) the ends of medicine and professional identity, 2) the philosophy of palliative medicine and resource allocation in palliative care, 3) benevolent paternalism, the “good death”, and the interests of future selves, 4) the risk of a slippery slope and the protection of vulnerable people. (shrink)

Three common ethical principles for establishing the limits of parental authority in pediatric treatment decision making are the harm principle, the principle of best interest, and the threshold view. This paper consider how these principles apply to a case of a premature neonate with multiple significant comorbidities whose mother wanted all possible treatments, and whose health care providers wondered whether it would be ethically permissible to allow him to die comfortably despite her wishes. Whether and how these principles help to (...) understand what was morally right for the child is questioned. The paper concludes that the principles were of some value in understanding the moral geography of the case, but that the case reveals common bioethical principles for medical decision making are problematically value-laden because they are inconsistent with the widespread moral value of medical vitalism. (shrink)

In this paper, we define correlation coefficient measure between any two rough neutrosophic sets. We also prove some of its basic properties.. We develop a new multiple attribute group decision making method based on the proposed correlation coefficient measure. An illustrative example of medical diagnosis is solved to demonstrate the applicability and effecriveness of the proposed method.

I discuss an influential argument put forward by Joshua Hatherley. Drawing on influential philosophical accounts of inter-personal trust, Hatherley claims that medical Artificial Intelligence is capable of being reliable, but not trustworthy. Furthermore, Hatherley argues that trust generates moral obligations on behalf of the trustee. For instance, when a patient trusts a clinician, it generates certain moral obligations on behalf of the clinician for her to do what she is entrusted to do. I make three objections to Hatherley’s claims: (...) (1) At least one philosophical account of inter-agent trust implies that medical AI is capable of being trustworthy. (2) Even if this account should ultimately be rejected, it does not matter much because what we care mostly about is that medical AI is reliable. (3) It is false that trust in itself generates moral obligations on behalf of the trustee. -/- . (shrink)

That a standard of medical care must outline services that benefit the patient is relatively uncontroversial. However, one must determine how the practices outlined in a medical standard of care should benefit the patient. I will argue that practices outlined in a standard of medical care must not detract from the patient’s well-functioning and that clinicians can refuse to provide services that do. This paper, therefore, will advance the following two claims: (1) a standard of medical (...) care must not cause dysfunction, and (2) if a physician is medically rational to not provide some service which fails to meet the above condition (i.e. fails to be a standard of medical care), then she may refuse to do so. I then apply my thesis to the prescription of puberty blockers to children with gender dysphoria. (shrink)

The application of machine-learning technologies to medical practice promises to enhance the capabilities of healthcare professionals in the assessment, diagnosis, and treatment, of medical conditions. However, there is growing concern that algorithmic bias may perpetuate or exacerbate existing health inequalities. Hence, it matters that we make precise the different respects in which algorithmic bias can arise in medicine, and also make clear the normative relevance of these different kinds of algorithmic bias for broader questions about justice and fairness (...) in healthcare. In this paper, we provide the building blocks for an account of algorithmic bias and its normative relevance in medicine. (shrink)

Most regulations and guidelines require that potential research participants be told a great deal of information during the consent process. Many of these documents, and most of the scholars who consider the consent process, assume that all this information must be disclosed because it must all be understood. However, a wide range of studies surveying apparently competent participants in clinical trials around the world show that many do not understand key aspects of what they have been told. The standard view (...) of the conditions for valid consent therefore implies that these people have failed to give valid consent to research participation. In this paper we argue that the standard view is false. The primary function of the requirement that researchers disclose information about a study is the avoidance of illegitimate control over someone’s consent decision, which is a form of fraud.We derive the content and manner of appropriate disclosure by analysing the ways in which the manipulation of information can invalidate consent. Our analysis shows that the informational requirements for valid consent are conceptually distinct and thus unlikely to have identical contents. This implies that consent can be valid when not everything that ought to be disclosed by the person asking for consent is understood by the person who proffers it. (shrink)

We often show a greater inclination to assist and avoid harming people identified as those at high risk of great harm than to assist and avoid harming people who will suffer similar harm but are not identified (as yet). Call this the identified person bias. Some ethicists think such bias is justified; others disagree and claim that the bias is discriminatory against statistical people. While the issue is present in public policy and politics, perhaps the most notable examples can be (...) found in medical ethics such as in ICU triage decisions made during the COVID‐19 pandemic. The Rule of Rescue, as the application of the identified person bias is sometimes called, states that spending large amounts of resources rescuing identifiable individuals who are in imminent danger is justified. In this paper, I show that our distorted attitudes toward time play a role in identified person bias. I claim that ICU triage decisions are better explained by a preference to treat people sooner rather than later, which is at least partially due to near bias (positive events are to be preferred to be near rather than distant), than by a preference to treat identified lives over statistical lives. Thus, another bias, near bias, is involved in the reasoning behind the identified person bias and the Rule of Rescue. (shrink)

Integrating medical imaging with computing technologies, such as Artificial Intelligence (AI) and its subsets: Machine learning (ML) and Deep Learning (DL) has advanced into an essential facet of present-day medicine, signaling a pivotal role in diagnostic decision-making and treatment plans (Huang et al., 2023). The significance of medical imaging is escalated by its sustained growth within the realm of modern healthcare (Varoquaux and Cheplygina, 2022). Nevertheless, the ever-increasing volume of medical images compared to the availability of imaging (...) experts. Biomedical experts and radiologists have resulted in a widening disparity, causing an excess and overwhelming workload on these healthcare professionals (Chen et al., 2021). Several studies indicate that the present-day biomedical radiologist is now saddled with the daunting task of interpreting an image almost every 10 seconds to keep pace with the burgeoning clinical demands (McDonald et al., 2015; Hosny et al., 2018; Lantsman et al., 2022). This cognitive drain has invariably led to inevitable consequences such as delays in diagnosis and an amplified risk of diagnostic errors – thus, the biomedical imaging aspect is in dire need of methods that would aid accurate diagnostics and analytics for improved decision making. In this review, the importance of AI-related technologies such as ML and/or DL methods are reviewed in relation to the processing of medical or biomedical images along with their potentials, challenges, and possible suggestions for future studies in the health landscape. The focus will be on machine learning methods associated with the medical field of image classification. (shrink)

Patients should not always receive hard data about the risks and benefits of a medical intervention. That information should always be available to patients who expressly ask for it, but it should be part of standard disclosure only sometimes, and only for some patients. And even then, we need to think about how to offer it.

Purpose: The objective of this study is to determine the importance of supplementary medical ethics course for resident physicians. In this study, we assessed the current state of their knowledge of medical ethics and aimed to improve and deepen their understanding of clinical scenarios to increase their awareness of the link between the practice of medicine and ethical issues. Methods: The course was held for groups of 10-12 people for 3 days a week for a total of 6 (...) hours. Tests given prior to and following completion of the course were used to assess the effectiveness of a medical ethics training course in which 120 resident physicians completed. The evaluation was made on the basis of the same pre-and post-tests (14 scenarios) and direct observation of participants. Result and Discussion: The average age was 28.23 ± 4.08 and 25% were female and 75% were male. Of the participants, 68.3% were training to be internists, 24.2% were training to be surgeons, and 7.5% were training in laboratory medicine. There was a significant statistical difference between the mean total scores of both tests (p=0.00). After completing the course, residents took into account the medical ethical principles while discussing ethical decisions. Conclusion: After finishing the course, participants defended their responses in regard to issues of medical ethics more carefully and articulated their thoughts more clearly. Our experience demonstrated that the trainees benefited from a structured curriculum in medical ethics. We believe that the development and implementation of our course may serve as a case study for training resident physicians in medical ethics. (shrink)

La délibération est souvent perçue comme l’œuvre d’une liberté exami­nant de manière autonome les éléments qui conduisent à la prise de décision, elle-même perçue comme le moment premier de l’action. Cette vision des choses n’est-elle pas la conséquence d’une illusion rétrospective ? Le processus décision­nel dans lequel s’inscrit la délibération ne doit-il pas plutôt être envisagé comme un enchaînement causal par lequel les acteurs sont emportés sans être véritable­ment les auteurs du scénario auquel ils participent ? Une telle approche détermi­niste (...) doit-elle pour autant nous conduire à renoncer à « reprendre la main » sur nos décisions ? L’analyse qui est ici conduite porte sur la décision dans le domaine médical. Elle s’inspire de la pensée de Spinoza et tend à montrer que même si nous sommes déterminés, la puissance réflexive de l’esprit est en mesure de mieux éclairer et orienter les différents protagonistes de la délibération et de la décision médicales. (shrink)

A crucial question in relation to support designed to enable the legal capacity of people with mental disabilities concerns when support constitutes undue influence. This article addresses this question in order to facilitate the development of law and policy in England and Wales, by providing a normative analysis of the different approaches to undue influence across decisions about property, contracts, health, finances, and accommodation. These are all potential contexts for supporting legal capacity, and, in doing so, the article compares (...) approaches to undue influence that are rarely considered together. -/- Drawing on the UN Convention on the Rights of Persons with Disabilities, third sector and public body documents, and law in England and Wales, the analysis identifies six models that conceptualise undue influence in terms of: modes of influence; an overborne will; an inference from the situation; an overborne will understood as a mental incapacity; an overborne will in connection with vulnerability; and impaired discursive control. This final approach is a novel proposal for understanding undue influence. The analysis highlights key policy-relevant issues that distinguish the models, and generates a deliberative framework for navigating them, with the ‘overborne will’, ‘inference-based’, and ‘discursive control’ models identified as potentially fitting for the support context. (shrink)

While every health care system stakeholder would seem to be concerned with obtaining the greatest value from a given technology, there is often a disconnect in the perception of value between a technology’s promoters and those responsible for the ultimate decision as to whether or not to pay for it. Adopting an empirical ethics approach, this paper examines how five Canadian medical device manufacturers, via their websites, frame the corporate “value proposition” of their innovation and seek to respond to (...) what they consider the key expectations of their customers. Our analysis shows that the manufacturers’ framing strategies combine claims that relate to valuable socio-technical goals and features such as prevention, efficiency, sense of security, real-time feedback, ease of use and flexibility, all elements that likely resonate with a large spectrum of health care system stakeholders. The websites do not describe, however, how the innovations may impact health care delivery and tend to obfuscate the decisional trade-offs these innovations represent from a health care system perspective. Such framing strategies, we argue, tend to bolster physicians’ and patients’ expectations and provide a large set of stakeholders with powerful rhetorical tools that may influence the health policy arena. Because these strategies are difficult to counter given the paucity of evidence and its limited use in policymaking, establishing sound collective health care priorities will require solid critiques of how certain kinds of medical devices may provide a better (i.e., more valuable) response to health care needs when compared to others. (shrink)

The paper reports results of the very first survey-based study on the prevalence, frequency and nature of ethical or other non-medical difficulties faced by Polish physicians in their everyday clinical practice. The study involved 521 physicians of various medical specialties, practicing mainly in inpatient healthcare. The study showed that the majority of Polish physicians encounter ethical and other non-medical difficulties in making clinical decisions. However, they confront such difficulties less frequently than their foreign peers. Moreover, Polish (...) doctors indicate different circumstances as a source of the experienced problems. The difficulties most often reported relate to (i) patients (or their proxies) requests for medically non-indicated interventions; (ii) problems with communication with patients (or their proxies) due to the patients’ negative attitude, unwillingness to cooperate, or aggression; and (iii) various difficulties with obtaining informed consent. Polish physicians report difficulties associated with disagreements among care givers or scarcity of resources less frequently than doctors from other countries. The study’s findings provide support for the thesis that a significant portion of Polish physicians still follow a traditional, paternalistic, and hierarchical model of healthcare practice. Instead of promoting patient’s empowerment, engagement, and rights, they often consider these ideas as a threat to physicians’ professional authority and autonomy. The study leads to the conclusion that due to insufficient training in medical ethics, communication skills, and medical law, many Polish physicians lack the knowledge and competence necessary to adequately respond to challenges posed by modern healthcare practice. (shrink)

The aim of this paper is to argue that intuitive methods of moral decision making are objective tools on the grounds that they are reasons based. First, I will conduct a preliminary analysis in which I highlight the acceptance of methodological pluralism in the practice of medical ethics. Here, the point is to show the possibility of using intuitive methods given the pluralism framework. Second, I will argue that the best starting point of elaborating such methods is a bottom-up (...) perspective. Third, I will address the worry of subjectivism. Under the influence of certain rationalist positions and recent developments in cognitive science and moral psychology, one might think that intuitive methods of moral decision making are essentially subjective and emotion based. If moral intuitions are the result of emotional reactions and intuitive reasoning is emotionally driven, then there are reasons to believe intuitive methods are subjective and relative to particular psychological constitution. Against this picture, I will argue that intuitive methods of moral decision making are essentially reasons-based. A Wittgensteinian approach will show that intuitive methods of moral decision making are conceptually linked with criteria of morality. (shrink)

This paper concerns the double standard debate in the ethics of AI literature. This debate essentially revolves around the question of whether we should subject AI systems to different normative standards than humans. So far, the debate has centered around the desideratum of transparency. That is, the debate has focused on whether AI systems must be more transparent than humans in their decision-making processes in order for it to be morally permissible to use such systems. Some have argued that the (...) same standards of transparency should be applied across the board, for AI systems and humans alike. Others have argued that we should hold AI systems to higher standards than humans in terms of transparency. In this paper, we first point out that there are structurally similar double standard debates to be had about other desiderata besides transparency, such as predictive accuracy. Second, we argue that when we focus on predictive accuracy, there are at least two reasons for holding AI systems to a lower standard than humans. (shrink)

Medicine, like law, is a pragmatic, probabilistic activity. Both require that decisions be made on the basis of available evidence, within a limited time. In contrast to law, medicine, particularly evidence-based medicine as it is currently practiced, aspires to a scientific standard of proof, one that is more certain than the standards of proof courts apply in civil and criminal proceedings. But medicine, as Dr. William Osler put it, is an "art of probabilities," or at best, a "science of (...) uncertainty." One can better practice medicine by using other evidentiary standards in addition to the "scientific." To employ only the scientific standard of proof is inappropriate, if not impossible; furthermore, as this review will show, its application in medicine is fraught with bias. Evidence is information. It supports or undermines a proposition, whether a hypothesis in science, a diagnosis in medicine, or a fact or point in question in a legal investigation. In medicine, physicians marshal evidence to make decisions on how to best prevent, diagnose, and treat disease, and improve health. In law, courts decide the facts and render justice. Judges and juries assess evidence to establish liability, to settle custody and medical issues, and to determine a defendant's guilt or innocence. (shrink)

Because an increasing number of patients have medical conditions that render them incompetent at making their own medical choices, more and more medical choices are now made by surrogates, often patient family members. However, many studies indicate that surrogates often do not discharge their responsibilities adequately, and in particular, do not choose in accordance with what those patients would have chosen for themselves, especially when it comes to end-of-life medical choices. This chapter argues that a significant (...) part of the explanation of such surrogate failure is that family surrogates are likely to undergo anticipatory grief when making end-of-life decisions. After clarifying both the emotional structure and object of grief, I propose that the pending death of a loved one induces an emotional conflict in surrogates between the care demanded by their responsibility as surrogates and the attachment surrogates feel toward their dying loved one, an attachment surrogates "resolve" in the direction of attachment rather than care. This hypothesis helps to explain both surrogates' general inability to exercise "substituted judgment" on behalf of their loved ones and a wide swath of the particular data regarding this inability (e.g., that surrogates more often err by choosing overtreatment). I conclude by considering possible clinical and philosophical responses to this hypothesis. (shrink)

Qualitative evidence concerning the relationship between QoL and a wide range of disabilities suggests that subjective judgments regarding other people’s QoL are wrong more often than not and that such judgments by medical practitioners in particular can be biased. Guided by their desire to do good and avoid harm, surgeons often rely on "the eyeball test" to decide whether a patient will or will not benefit from surgery. But the eyeball test can easily harbor a range of implicit judgments (...) and biases against patients with disabilities, including erroneous assumptions about QoL. We critique the use of the "eyeball" test and offer suggestions to reduce bias and ensure that patients’ values are more consistently prioritized in surgical decision-making. (shrink)

We aim to establish the following claim: other factors held constant, the relative weights of the epistemic burdens of competing treatment options serve to determine the options that patient surrogates pursue. Simply put, surrogates confront an incentive, ceteris paribus, to pursue treatment options with respect to which their knowledge is most adequate to the requirements of the case. Regardless of what the patient would choose, options that require more knowledge than the surrogate possesses (or is likely to learn) will either (...) be neglected altogether or deeply discounted in the surrogate’s incentive structure. We establish this claim by arguing that the relation between epistemic burdens and incentives in decision-making is a general feature of surrogate decision-making. After establishing the claim, we draw out some of the implications for surrogate decision-making in medicine and offer philosophical and psychological explanations of the phenomenon. (shrink)

The Substituted Judgment Standard for surrogate decision-making dictates that a surrogate, when making medical decisions on behalf of an incapacitated patient, ought to make the decision that the patient would have made if the patient had decisional capacity. Despite its intuitive appeal, however, SJS has been the target of a variety of criticisms. Most objections to SJS appeal to epistemic difficulties involved in determining what a patient would have decided in a given case. In this article, I offer (...) an alternative standard for surrogate decision-making that avoids these difficulties. I then offer an account of its theoretical underpinnings which shows that it preserves the central moral justification for SJS, namely, respect for patient autonomy. (shrink)

Considerations of autonomy and independence, properly understood, support strictly egalitarian provision of necessary medical treatment. If the financially better-off can purchase access to necessary medical treatments that the financially less well-off cannot purchase without help, then their discretionary power to give or to withhold monetary gifts indirectly gives them the power to make life-and-death or sickness-and-health decisions for others. To prevent private citizens from having this objectionable form of power, government must ensure that citizens’ finances do not (...) affect their access to medical treatments that significantly prolong life, relieve suffering, or cure or mitigate disabilities. Government should ensure this even if doing so involves leveling down and even if it is unclear whether egalitarian provision of necessary treatment would provide better care to the poor than a less egalitarian health care system would. (shrink)