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AI-driven CDS may reduce malpractice liability

Lay juries may be less likely to convict health care providers of malpractice in cases where decisions were based on recommendations from artificial intelligence-driven clinical support tools, researchers led by Kevin Tobia, JD, PhD, assistant professor at the Georgetown University Law Center, reported in the Journal of Nuclear Medicine. Participants in the study judged physicians more favorably if they accepted a standard AI recommendation than if they rejected it or accepted a nonstandard AI recommendation.

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