Abstract

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.

Keywords

MedicineFamily medicine

MeSH Terms

AlgorithmsArtificial IntelligenceDelivery of Health CareHumansMedicineProspective Studies

Affiliated Institutions

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Publication Info

Year
2022
Type
review
Volume
28
Issue
1
Pages
31-38
Citations
2004
Access
Closed

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Cite This

Pranav Rajpurkar, Emma Chen, Oishi Banerjee et al. (2022). AI in health and medicine. Nature Medicine , 28 (1) , 31-38. https://doi.org/10.1038/s41591-021-01614-0

Identifiers

DOI
10.1038/s41591-021-01614-0
PMID
35058619

Data Quality

Data completeness: 86%