Understanding Liability Risk from Using Health Care Artificial Intelligence Tools

The authors review challenges arising in malpractice litigation related to software errors to inform health care organizations and physicians about liability risk from AI adoption and about strategies to mitigate risk.

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Bibliographische Detailangaben
Veröffentlicht in:	The New England journal of medicine 2024-01, Vol.390 (3), p.271-278
Hauptverfasser:	Mello, Michelle M., Guha, Neel
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Artificial Intelligence - legislation & jurisprudence Child development Delivery of Health Care - legislation & jurisprudence Delivery of Health Care - methods Health care Health Care Delivery Health Facilities Health IT Health Law Health Policy Humans Liability Liability, Legal Medical errors Medical malpractice Medical screening Patients Physicians Software Standard of care Torts
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Beschreibung
Zusammenfassung:	The authors review challenges arising in malpractice litigation related to software errors to inform health care organizations and physicians about liability risk from AI adoption and about strategies to mitigate risk.
ISSN:	0028-4793 1533-4406
DOI:	10.1056/NEJMhle2308901