Physicians and other medical practitioners make untold numbers of judgments about patient care on a daily, weekly, and monthly basis. These judgments fall along a number of spectrums, from the mundane to the tragic, from the obvious to the challenging. Under the rubric of evidence-based medicine, these judgments will be informed by the robust conclusions of medical research. In the ideal circumstance, medical research makes the best decision obvious to the trained professional. Even when practice approximates this ideal, it does (...) so unevenly. Judgments in medical practice are always accompanied by uncertainty, and this uncertainty is a fickle companion—constant in its presence but inconstant in its expression. This feature of medical judgments gives rise to the moral responsibility of medical practitioners to be epistemically humble. This requires the recognition and communication of the uncertainty that accompanies their judgment as well as a commitment to avoiding intuitive innovations. (shrink)

Robust clinical decision-making depends on valid reasoning and sound judgment and is essential for delivering quality healthcare. It is often susceptible, however, to a clinician’s biases such as towards a patient’s age, gender, race, or socioeconomic status. Gender bias in particular has a deleterious impact, which frequently results in cognitive myopia so that a clinician is unable to make an accurate diagnosis because of a patient’s gender—especially for female patients. Virtue epistemology provides a means for confronting gender bias in clinical (...) decision-making and for correcting or even preventing its impact. The medical literature on cardiovascular and coronary heart disease is used to illustrate the role intellectual virtues can play in redressing the deleterious impact of gender bias on clinical decision-making and practice. Finally, questions are considered surrounding the pedagogy of intellectual virtues for medical students and practicing clinicians in order to provide quality care for patients, regardless of gender. (shrink)

BackgroundAs the use of AI becomes more pervasive, and computerised systems are used in clinical decision-making, the role of trust in, and the trustworthiness of, AI tools will need to be addressed. Using the case of computational phenotyping to support the diagnosis of rare disease in dysmorphology, this paper explores under what conditions we could place trust in medical AI tools, which employ machine learning.MethodsSemi-structured qualitative interviews with stakeholders who design and/or work with computational phenotyping systems. The method of constant (...) comparison was used to analyse the interview data.ResultsInterviewees emphasized the importance of establishing trust in the use of CP technology in identifying rare diseases. Trust was formulated in two interrelated ways in these data. First, interviewees talked about the importance of using CP tools within the context of a trust relationship; arguing that patients will need to trust clinicians who use AI tools and that clinicians will need to trust AI developers, if they are to adopt this technology. Second, they described a need to establish trust in the technology itself, or in the knowledge it provides—epistemic trust. Interviewees suggested CP tools used for the diagnosis of rare diseases might be perceived as more trustworthy if the user is able to vouchsafe for the technology’s reliability and accuracy and the person using/developing them is trusted.ConclusionThis study suggests we need to take deliberate and meticulous steps to design reliable or confidence-worthy AI systems for use in healthcare. In addition, we need to devise reliable or confidence-worthy processes that would give rise to reliable systems; these could take the form of RCTs and/or systems of accountability transparency and responsibility that would signify the epistemic trustworthiness of these tools. words 294. (shrink)

The Habermasian concept of ‘interest’ has had a profound effect on the characterization of scientific disciplines. Going beyond issues unrelated to the theory itself, intra‐theoretical interest characterizes the specific ways of approaching any science‐related discipline, defining research topics and methodologies. This approach was developed by Jürgen Habermas in relation to empirical–analytical sciences, historical–hermeneutics sciences, and critical sciences; however, he did not make any specific references to health sciences. This article aims to contribute to shaping a general epistemological framework for health (...) sciences, as well as its specific implications for the medical and nursing areas, via an analysis of the basic knowledge interests developed by Habermas. (shrink)