软件部署
稀缺
数据科学
钥匙(锁)
封面(代数)
医学
计算机科学
工程伦理学
医疗保健
人工智能
政治学
工程类
计算机安全
机械工程
操作系统
经济
微观经济学
法学
作者
Pranav Rajpurkar,Emma Chen,Oishi Banerjee,Eric J. Topol
出处
期刊:Nature Medicine
[Springer Nature]
日期:2022-01-01
卷期号:28 (1): 31-38
被引量:998
标识
DOI:10.1038/s41591-021-01614-0
摘要
Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the experiences of both clinicians and patients. We discuss key findings from a 2-year weekly effort to track and share key developments in medical AI. We cover prospective studies and advances in medical image analysis, which have reduced the gap between research and deployment. We also address several promising avenues for novel medical AI research, including non-image data sources, unconventional problem formulations and human-AI collaboration. Finally, we consider serious technical and ethical challenges in issues spanning from data scarcity to racial bias. As these challenges are addressed, AI's potential may be realized, making healthcare more accurate, efficient and accessible for patients worldwide.
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