Popular large language model chatbots’ accuracy, comprehensiveness, and self-awareness in answering ocular symptom queries

Popular large language model chatbots’ accuracy, comprehensiveness, and self-awareness in answering ocular symptom queries

Summary: In light of growing interest in using emerging large language models (LLMs) for self-diagnosis, we systematically assessed the performance of ChatGPT-3.5, ChatGPT-4.0, and Google Bard in delivering proficient responses to 37 common inquiries regarding ocular symptoms. Responses were masked,...

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Bibliographic Details
Main Authors: Krithi Pushpanathan, Zhi Wei Lim, Samantha Min Er Yew, David Ziyou Chen, Hazel Anne Hui'En Lin, Jocelyn Hui Lin Goh, Wendy Meihua Wong, Xiaofei Wang, Marcus Chun Jin Tan, Victor Teck Chang Koh, Yih-Chung Tham
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:iScience
Subjects:
Ophthalmology
Artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S258900422302240X

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http://www.sciencedirect.com/science/article/pii/S258900422302240X

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