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Kyle E. Karches [5]Kyle Karches [3]
  1.  37
    Dead Enough? NRP-cDCD and Remaining Questions for the Ethics of DCD Protocols.Patrick McCruden, Jason T. Eberl, Erica K. Salter & Kyle Karches - 2023 - American Journal of Bioethics 23 (2):41-43.
    In their article, Nielsen Busch and Mjaaland defend the moral permissibility of cDCD, suggesting that much of the controversy around this donation practice has been the result of a misinterpretatio...
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  2. Against the iDoctor: why artificial intelligence should not replace physician judgment.Kyle E. Karches - 2018 - Theoretical Medicine and Bioethics 39 (2):91-110.
    Experts in medical informatics have argued for the incorporation of ever more machine-learning algorithms into medical care. As artificial intelligence research advances, such technologies raise the possibility of an “iDoctor,” a machine theoretically capable of replacing the judgment of primary care physicians. In this article, I draw on Martin Heidegger’s critique of technology to show how an algorithmic approach to medicine distorts the physician–patient relationship. Among other problems, AI cannot adapt guidelines according to the individual patient’s needs. In response to (...)
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  3.  59
    The ends of medicine and the crisis of chronic pain.Kyle E. Karches - 2019 - Theoretical Medicine and Bioethics 40 (3):183-196.
    Pellegrino and Thomasma have proposed a normative medical ethics founded on a conception of the end of medicine detached from any broader notion of the telos of human life. In this essay, I question whether such a narrow teleological account of medicine can be sustained, taking as a starting point Pellegrino and Thomasma’s own contention that the end of medicine projects itself onto the intermediate acts that aim at that end. In order to show how the final end of human (...)
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  4.  42
    Medicine and the Common Good in the Aristotelian-Thomistic Tradition.Kyle E. Karches - 2020 - Christian Bioethics 26 (2):124-144.
    Whereas bioethicists generally consider medicine a practice aimed at the individual good of each patient, in this paper I present an alternative conception of the goods of medicine. I first explain how modern liberal political theory gives rise to the predominant view of the medical good and then contrast this understanding of politics with that of Thomas Aquinas, informed by Aristotle. I then show how this Christian politics is implicit in certain aspects of contemporary medical practice and argue that Christians (...)
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  5.  35
    Temperance, Moral Friendship, and Smoking Cessation.Kyle Karches - 2019 - Journal of Medicine and Philosophy 44 (3):299-313.
    The predominant approach of public health experts to cigarette smoking might be described as behaviorist, for it aims to eliminate this behavior without attending to human agency and intention. The requirement that physicians address smoking cessation at every patient visit also constitutes physicians as “managers” who focus narrowly on technical means to achieve predetermined ends. In this paper, I contrast such an approach with the Aristotelian tradition, according to which physician and patient ought to develop the virtue of temperance that (...)
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  6.  15
    Making Modern Medical Ethics: How African Americans, Anti-Nazis, Bureaucrats, Feminists, Veterans, and Whistleblowing Moralists Created Bioethics, by Robert Baker. Cambridge, MA: MIT Press, 2024.Kyle E. Karches - 2025 - Journal of Medical Humanities 46 (1):169-171.
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  7.  3
    Making Modern Medical Ethics: How African Americans, Anti-Nazis, Bureaucrats, Feminists, Veterans, and Whistleblowing Moralists Created Bioethics, by Robert Baker. Cambridge, MA: MIT Press, 2024.Kyle E. Karches - 2025 - Journal of Medical Humanities 46 (1):169-171.
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  8.  2
    Hermeneutics as impediment to AI in medicine.Kyle Karches - 2025 - Theoretical Medicine and Bioethics 46 (1):31-49.
    Predictions that artificial intelligence (AI) will become capable of replacing human beings in domains such as medicine rest implicitly on a theory of mind according to which knowledge can be captured propositionally without loss of meaning. Generative AIs, for example, draw upon billions of written sources to produce text that most likely responds to a user’s query, according to its probability heuristic. Such programs can only replace human beings in practices such as medicine if human language functions similarly and, like (...)
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