Feasibility and Concordance of a Large Language Model (ChatGPT-5) as a Clinical Decision Support Tool in Gynecologic Oncology Tumor Boards: A Blinded, Multi-Observer Study.

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Title: Feasibility and Concordance of a Large Language Model (ChatGPT-5) as a Clinical Decision Support Tool in Gynecologic Oncology Tumor Boards: A Blinded, Multi-Observer Study.
Authors: Asoglu H; Department of Medical Oncology, Cukurova University Faculty of Medicine, 01330 Adana, Turkey., Kose S; Department of Radiology, Cukurova University Faculty of Medicine, 01330 Adana, Turkey., Kayim O; Department of Gynecologic Oncology, Cukurova University Faculty of Medicine, 01330 Adana, Turkey., Abaci A; Department of Gynecologic Oncology, Cukurova University Faculty of Medicine, 01330 Adana, Turkey., Khatib G; Department of Gynecologic Oncology, Cukurova University Faculty of Medicine, 01330 Adana, Turkey., Vardar MA; Department of Gynecologic Oncology, Cukurova University Faculty of Medicine, 01330 Adana, Turkey., Kilic Bagir E; Department of Pathology, Cukurova University Faculty of Medicine, 01330 Adana, Turkey., Gumurdulu D; Department of Pathology, Cukurova University Faculty of Medicine, 01330 Adana, Turkey., Kidi MM; Department of Medical Oncology, Cukurova University Faculty of Medicine, 01330 Adana, Turkey., Bayram E; Department of Medical Oncology, Cukurova University Faculty of Medicine, 01330 Adana, Turkey., Koseci T; Department of Medical Oncology, Cukurova University Faculty of Medicine, 01330 Adana, Turkey., Sahin B; Department of Medical Oncology, Cukurova University Faculty of Medicine, 01330 Adana, Turkey., Kara IO; Department of Medical Oncology, Cukurova University Faculty of Medicine, 01330 Adana, Turkey.
Source: Journal of clinical medicine [J Clin Med] 2026 Jun 09; Vol. 15 (12). Date of Electronic Publication: 2026 Jun 09.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101606588 Publication Model: Electronic Cited Medium: Print ISSN: 2077-0383 (Print) Linking ISSN: 20770383 NLM ISO Abbreviation: J Clin Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2077-0383
DOI:10.3390/jcm15124451