Artificial Intelligence Diagnosis of Obstructive Sleep Apnea: Bayesian Meta-Analyses of 80 Studies with 248 Models

Sleep Medicine 2026

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Authors: E.Y. Gao, B.K.J. Tan, Y. Hao, S. R, NKW Tan, B.S.Y. Yeo, C.J.-W. Tan, J.Z.E. Ong, Kei-Ming Yam, C.Y.J. Lim, JH Koh, J.X.Y. Au
+18 more N.E.X. Toh, C.L. Yong, J.J. James, J. Ong, E. Ng, J.E.X. Tan, J.Y. Koo, Y.S. Lee, Y.H. Teo, A.C.W. Ng, Z.H. Leong, CQ Phua, Maythad Uataya, L.C. Goh, T.H. Ong, Leong Chai Leow, G.-B. Huang, Song‐Tar Toh
DOI: 10.1016/j.sleep.2025.107938
Cited by: 0

Fields of Study & Subjects

Obstructive Sleep Apnea Research Artificial Intelligence in Healthcare Sleep and related disorders

Publication details

Journal / source
Sleep Medicine
Volume
138
Pages
107938–107938
Publication date
29 January 2026
Language
EN