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Artificial intelligence in medicine and the negative outcome penalty paradox
by
Appel, Jacob M
in
Accuracy
/ Artificial intelligence
/ Artificial Intelligence - ethics
/ Attitudes
/ Bias
/ Decision Making
/ Ethics- Medical
/ Humans
/ Juries
/ Law
/ Legal liability
/ Liability
/ Liability, Legal
/ Lung cancer
/ Malpractice
/ Medical ethics
/ Medical malpractice
/ Medicine
/ Original research
/ Patient safety
/ Physicians
/ Physicians - ethics
/ Public opinion
/ Standard of care
/ Uncertainty
2025
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Artificial intelligence in medicine and the negative outcome penalty paradox
by
Appel, Jacob M
in
Accuracy
/ Artificial intelligence
/ Artificial Intelligence - ethics
/ Attitudes
/ Bias
/ Decision Making
/ Ethics- Medical
/ Humans
/ Juries
/ Law
/ Legal liability
/ Liability
/ Liability, Legal
/ Lung cancer
/ Malpractice
/ Medical ethics
/ Medical malpractice
/ Medicine
/ Original research
/ Patient safety
/ Physicians
/ Physicians - ethics
/ Public opinion
/ Standard of care
/ Uncertainty
2025
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Do you wish to request the book?
Artificial intelligence in medicine and the negative outcome penalty paradox
by
Appel, Jacob M
in
Accuracy
/ Artificial intelligence
/ Artificial Intelligence - ethics
/ Attitudes
/ Bias
/ Decision Making
/ Ethics- Medical
/ Humans
/ Juries
/ Law
/ Legal liability
/ Liability
/ Liability, Legal
/ Lung cancer
/ Malpractice
/ Medical ethics
/ Medical malpractice
/ Medicine
/ Original research
/ Patient safety
/ Physicians
/ Physicians - ethics
/ Public opinion
/ Standard of care
/ Uncertainty
2025
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Artificial intelligence in medicine and the negative outcome penalty paradox
Journal Article
Artificial intelligence in medicine and the negative outcome penalty paradox
2025
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Overview
Artificial intelligence (AI) holds considerable promise for transforming clinical diagnostics. While much has been written both about public attitudes toward the use of AI tools in medicine and about uncertainty regarding legal liability that may be delaying its adoption, the interface of these two issues has so far drawn less attention. However, understanding this interface is essential to determining how jury behaviour is likely to influence adoption of AI by physicians. One distinctive concern identified in this paper is a ‘negative outcome penalty paradox’ (NOPP) in which physicians risk being penalised by juries in cases with negative outcomes, whether they overrule AI determinations or accept them. The paper notes three reasons why AI in medicine is uniquely susceptible to the NOPP and urges serious further consideration of this complex dilemma.
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