Potential Liability for Physicians Using Artificial Intelligence

被引：242

作者：

Price, W. Nicholson, II ^{[1
]}

Gerke, Sara ^{[2
]}

Cohen, I. Glenn ^{[3
]}

机构：

[1] Univ Michigan, Sch Law, 625 S State St, Ann Arbor, MI 48109 USA

[2] Harvard Univ, Project Precis Med Artificial Intelligence & Law, Petrie Flom Ctr Hlth Law Policy Biotechnol & Bioe, Harvard Law Sch, Cambridge, MA 02138 USA

[3] Harvard Univ, Harvard Law Sch, Petrie Flom Ctr Hlth Law Policy Biotechnol & Bioe, Cambridge, MA 02138 USA

来源：

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION | 2019年 / 322卷 / 18期

关键词：

D O I：

10.1001/jama.2019.15064

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

This Viewpoint proposes a template for thinking about physician malpractice liability arising from use of artificial intelligence (AI) in clinical practice, and identifies scenarios with and without injury and liability vs based on alignment of AI recommendations with standards of care, AI accuracy, and physician decisions in response.

引用

页码：1765 / 1766

页数：2

共 5 条

[1] How the machine 'thinks': Understanding opacity in machine learning algorithms
Burrell, Jenna
[J]. BIG DATA & SOCIETY, 2016, 3 (01): : 1 - 12
[2] Artificial Intelligence in Health Care Will the Value Match the Hype?
Emanuel, Ezekiel J.
Wachter, Robert M.
[J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2019, 321 (23): : 2281 - 2282
[3] Froomkin, 2019, Arizona Law Review, V61, P33
[4] Price N., 2018, Big data, health law, and bioethics, P295, DOI [10.1017/9781108147972.027, DOI 10.1017/9781108147972.027]
[5] High-performance medicine: the convergence of human and artificial intelligence
Topol, Eric J.
[J]. NATURE MEDICINE, 2019, 25 (01) : 44 - 56

← 1 →