Performance of the Large Language Models in African rheumatology: a diagnostic test accuracy study of ChatGPT-4, Gemini, Copilot, and Claude artificial intelligence

Performance of the Large Language Models in African rheumatology: a diagnostic test accuracy study of ChatGPT-4, Gemini, Copilot, and Claude artificial intelligence

Abstract Background Artificial intelligence (AI) tools, particularly Large Language Models (LLMs), are revolutionizing medical practice, including rheumatology. However, their diagnostic capabilities remain underexplored in the African context. To assess the diagnostic accuracy of ChatGPT-4, Gemini,...

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Main Authors: Yannick Laurent Tchenadoyo Bayala, Wendlassida Joelle Stéphanie Zabsonré/Tiendrebeogo, Dieu-Donné Ouedraogo, Fulgence Kaboré, Charles Sougué, Aristide Relwendé Yameogo, Wendlassida Martin Nacanabo, Ismael Ayouba Tinni, Aboubakar Ouedraogo, Yamyellé Enselme Zongo
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Rheumatology
Subjects:
Artificial intelligence
Large Language Models
Rheumatology
Diagnostic accuracy
Africa
Online Access:https://doi.org/10.1186/s41927-025-00512-z
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https://doi.org/10.1186/s41927-025-00512-z

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