Document Type
Article
Publication Date
10-2019
Abstract
Artificial intelligence (AI) is quickly making inroads into medical practice, especially in forms that rely on machine learning, with a mix of hope and hype. Multiple AI-based products have now been approved or cleared by the US Food and Drug Administration(FDA), and health systems and hospitals are increasingly deploying AI-based systems. For example, medical AI can support clinical decisions, such as recommending drugs or dosages or interpreting radiological images. One key difference from most traditional clinical decision support software is that some medical AI may communicate results or recommendations to the care team without being able to communicate the underlying reasons for those results.
Recommended Citation
Price, W. Nicholson, II, Glenn Cohen, and Sara Gerke. "Potential Liability for Physicians Using Artificial Intelligence." Journal of the American Medical Association 322, no. 18 (2019): 1765-1766.
Included in
Artificial Intelligence and Robotics Commons, Health Law and Policy Commons, Science and Technology Law Commons
Comments
Reproduced with permission from Journal of the American Medical Association, 2019, 322(18): 10.1001/jama.2019.15064. Copyright © (2019) American Medical Association. All rights reserved, including those for text and data mining, AI training, and similar technologies.