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Evaluating the robustness and readiness of large frontier models in health AI applications

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Year: 2026
Type: article
Source: Nature Medicine
DOI: 10.1038/s41591-026-04501-8
Authors: Yu Gu, Jingjing Fu, Xiaodong Liu, Jeya Maria Jose Valanarasu, Noel C. F. Codella, Reuben Tan, Qianchu Liu, Ying Jin, Sheng Zhang, Jinyu Wang, Rui Wang, Lei Song, Guanghui Qin, Naoto Usuyama, Cliff Wong, Hao Cheng, HoHin Lee, Praneeth Sanapathi, Sarah Hilado, Tristan Naumann, Javier Alvarez-Valle, Jiang Bian, Mu Wei, Khalil Malik, Lidong Zhou, Jianfeng Gao, Eric Horvitz, Matthew P. Lungren, Doug Burger, Eric Topol, Hoifung Poon, Paul Vozila
Institutions: Microsoft (United States), Scripps Research Institute
Language: English

Topic: Artificial Intelligence in Healthcare and Education
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: green
OpenAlex ID: W7166200005
FWCI: 53.3
Cites: 28
Cited by: 48
Related to: 10
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