Comparing artificial intelligence and physician performance in predicting IDH mutation status in glioma.

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Title: Comparing artificial intelligence and physician performance in predicting IDH mutation status in glioma.
Authors: Takahashi S; Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, Japan.; AI Medical Engineering Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan., Takahashi M; Department of Neurosurgery and Neuro-Oncology, National Cancer Center Hospital, Tokyo, Japan. masataka@tokai.ac.jp.; Department of Neurosurgery, Tokai University School of Medicine, Isehara, Japan. masataka@tokai.ac.jp., Kinoshita M; Department of Neurosurgery, Asahikawa Medical University, Asahikawa, Japan., Miyake M; Department of Diagnostic Radiology, National Cancer Center Hospital, Tokyo, Japan., Kawaguchi R; Graduate School of Pharmaceutical Sciences, the University of Tokyo, Tokyo, Japan., Shinojima N; Department of Neurosurgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan., Mukasa A; Department of Neurosurgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan., Saito K; Department of Neurosurgery, Kyorin University School of Medicine, Tokyo, Japan., Nagane M; Department of Neurosurgery, Kyorin University School of Medicine, Tokyo, Japan., Otani R; Department of Neurosurgery, Dokkyo Medical University, Tochigi, Japan.; Department of Neurosurgery, Tokyo Metropolitan Komagome Hospital, Tokyo, Japan., Higuchi F; Department of Neurosurgery, Dokkyo Medical University, Tochigi, Japan., Tanaka S; Department of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.; Department of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan., Hata N; Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan., Tamura K; Department of Neurosurgery, Institute of Science Tokyo, Tokyo, Japan., Tateishi K; Department of Neurosurgery, Graduate School of Medicine, Yokohama City University, Yokohama, Japan., Nishikawa R; Department of Neuro-Oncology/Neurosurgery, Saitama Medical University International Medical Center, Saitama, Japan., Arita H; Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita, Japan., Nonaka M; Department of Neurosurgery, Kansai Medical University, Hirakata, Japan.; Department of Neurosurgery, NHO Osaka National Hospital, Osaka, Japan., Uda T; Department of Neurosurgery, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan., Fukai J; Department of Neurological Surgery, Wakayama Medical University School of Medicine, Wakayama, Japan., Okita Y; Department of Neurosurgery, NHO Osaka National Hospital, Osaka, Japan.; Department of Neurosurgery, Osaka International Cancer Institute, Osaka, Japan., Tsuyuguchi N; Department of Neurosurgery, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan.; Department of Neurosurgery, Naniwaikuno Hospital, Osaka, Japan., Kanemura Y; Department of Neurosurgery, NHO Osaka National Hospital, Osaka, Japan.; Department of Biomedical Research and Innovation, Institute for Clinical Research, NHO Osaka National Hospital, Osaka, Japan., Tsushima F; Department of Diagnostic Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan., Kakeda S; Department of Diagnostic Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan., Akashi T; Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan., Taoka T; Department of Innovative Biomedical Visualization (iBMV), Graduate School of Medicine, Nagoya University, Nagoya, Japan., Watanabe Y; Department of Radiology, Shiga University of Medical Science, Otsu, Japan., Yamada K; Department of Radiology , Kyoto Prefectural University of Medicine, Kyoto, Japan., Hirai T; Department of Diagnostic Radiology, Kumamoto University Graduate School of Life Sciences, Kumamoto, Japan., Azuma M; Department of Radiology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan., Yoshiura T; Department of Radiology, Shiga University of Medical Science, Otsu, Japan.; Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan., Sese J; Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, Japan.; Humanome Lab Inc., Tokyo, Japan., Ichimura K; Department of Pathology, Kyorin University Faculty of Medicine, Tokyo, Japan., Narita Y; Department of Neurosurgery and Neuro-Oncology, National Cancer Center Hospital, Tokyo, Japan., Hamamoto R; Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, Japan. rhamamot@ncc.go.jp.; AI Medical Engineering Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan. rhamamot@ncc.go.jp.
Source: NPJ digital medicine [NPJ Digit Med] 2026 May 05. Date of Electronic Publication: 2026 May 05.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med
Database: MEDLINE Ultimate
Description
ISSN:2398-6352
DOI:10.1038/s41746-026-02695-2