Evaluation of large language models in patient education and clinical decision support for rotator cuff injury: a two-phase benchmarking study

Evaluation of large language models in patient education and clinical decision support for rotator cuff injury: a two-phase benchmarking study

Abstract Objective This study evaluates the accuracy of ChatGPT-4o, ChatGPT-o1, Gemini, and ERNIE Bot in answering rotator cuff injury questions and responding to patients. Results show Gemini excels in accuracy, while ChatGPT-4o performs better in patient interactions. Methods Phase 1: Four LLM cha...

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Main Authors: Yi-Lin Wang, Li-Chao Tian, Jing-Yuan Meng, Jie-Chao Zhang, Zhi-Xing Nie, Wen-Rui Wei, Dao-fang Ding, Xiao-Ye Tang, Qian Zhang, Yong He
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Large language model
Patient education
Rotator cuff injury
Real world interview
Online Access:https://doi.org/10.1186/s12911-025-03105-5
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https://doi.org/10.1186/s12911-025-03105-5

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