Encoding Bioethics: AI in Clinical Decision-Making - Hardcover
$142.14 USD
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Encoding Bioethics: AI in Clinical Decision-Making - Hardcover
$142.14 USD
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by Charles Binkley (Author), Tyler Loftus (Author)
Encoding Bioethics addresses important ethical concerns from the perspective of each of the stakeholders who will develop, deploy, and use artificial intelligence systems to support clinical decisions. Utilizing an applied ethical model of patient-centered care, this book considers the viewpoints of programmers, health system and health insurance leaders, clinicians, and patients when AI is used in clinical decision-making. The authors build on their respective experiences as a surgeon-bioethicist and a surgeon-AI developer to give the reader an accessible account of the relevant ethical considerations raised when AI systems are introduced into the physician-patient relationship.
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Engages the reader to think strategically about the nuance in a problem so the solution can match the complexities involved instead of another vague checkbox of considerations existing in the literature today. I applaud the authors for providing space for us to consider the entire system and the responsibilities we all have in solving emerging problems.--Lindsey Jarrett, Vice President of Ethical AI, Center for Practical Bioethics
"If you work in bioethics and healthcare, you need to read Encoding Bioethics. AI is here, not going anywhere, and will expand as a tool. Charles Binkley and Tyler Loftus offer an analysis of the many clinical applications of AI that is both timely and prescient."--Joel Reynolds, author of The Life Worth Living: Disability, Pain, and MoralityAuthor Biography
Charles Binkley is a liver and pancreas surgeon, bioethicist, Director of Bioethics at Hackensack Meridian Health, and Associate Professor of Surgery at Hackensack Meridian School of Medicine. His work focuses on the ethical use of AI to improve clinical decision making.
Tyler Loftus is a trauma and acute care surgeon and intensive care unit doctor at the University of Florida who is passionate about surgical education, technical skills training, and research focused on machine learning augmentation of patient-centered care.
Number of Pages: 248
Dimensions: 0.69 x 8.5 x 5.5 IN
Publication Date: June 11, 2024
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