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  1. Groundhog Day for Medical Artificial Intelligence.Alex John London - 2018 - Hastings Center Report 48 (3):inside back cover-inside back co.
    Following a boom in investment and overinflated expectations in the 1980s, artificial intelligence entered a period of retrenchment known as the “AI winter.” With advances in the field of machine learning and the availability of large datasets for training various types of artificial neural networks, AI is in another cycle of halcyon days. Although medicine is particularly recalcitrant to change, applications of AI in health care have professionals in fields like radiology worried about the future of their careers and have (...)
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  • Social Media, E‐Health, and Medical Ethics.Mélanie Terrasse, Moti Gorin & Dominic Sisti - 2019 - Hastings Center Report 49 (1):24-33.
    Given the profound influence of social media and emerging evidence of its effects on human behavior and health, bioethicists have an important role to play in the development of professional standards of conduct for health professionals using social media and in the design of online systems themselves. In short, social media is a bioethics issue that has serious implications for medical practice, research, and public health. Here, we inventory several ethical issues across four areas at the intersection of social media (...)
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  • Leaving patients to their own devices? Smart technology, safety and therapeutic relationships.Anita Ho & Oliver Quick - forthcoming - Most Recent Articles: Bmc Medical Ethics.
    This debate article explores how smart technologies may create a double-edged sword for patient safety and effective therapeutic relationships. Increasing utilization of health monitoring devices by patients w...
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  • How Bioethics Can Shape Artificial Intelligence and Machine Learning.Junaid Nabi - 2018 - Hastings Center Report 48 (5):10-13.
    Artificial intelligence and machine learning have the potential to revolutionize the delivery of health care. But designing machine learning‐based decision support systems is not a merely technical challenge. It also requires attention to bioethical principles. As AI and machine learning advance, bioethical frameworks need to be tailored to address the problems that these evolving systems might pose, and the development of these automated systems also needs to be tailored to incorporate bioethical principles.
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  • The Findings of the Dartmouth Atlas Project: A Challenge to Clinical and Ethical Excellence in End-of-Life Care.John J. Mitchell - 2011 - Journal of Clinical Ethics 22 (3):267-276.
    The Dartmouth Institute for Health Policy and Clinical Practice Atlas Project found “staggering variations” in the quality and quantity of end-of-life care provided to Medicare patients with severe chronic illness across the United States. Particularly concerning is the finding that more care is provided to patients who live in “high-supply” areas, irrespective of the effectiveness of care, and that more care often equaled inappropriate care that increased patients’ suffering at the end of life. Patients in “lower supply” areas typically received (...)
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  • Leaving patients to their own devices? Smart technology, safety and therapeutic relationships.Anita Ho & Oliver Quick - 2018 - BMC Medical Ethics 19 (1):18.
    This debate article explores how smart technologies may create a double-edged sword for patient safety and effective therapeutic relationships. Increasing utilization of health monitoring devices by patients will likely become an important aspect of self-care and preventive medicine. It may also help to enhance accurate symptom reports, diagnoses, and prompt referral to specialist care where appropriate. However, the development, marketing, and use of such technology raise significant ethical implications for therapeutic relationships and patient safety. Drawing on lessons learned from other (...)
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