Comprehensiveness of Large Language Models in Patient Queries on Gingival and Endodontic Health

Comprehensiveness of Large Language Models in Patient Queries on Gingival and Endodontic Health

Aim: Given the increasing interest in using large language models (LLMs) for self-diagnosis, this study aimed to evaluate the comprehensiveness of two prominent LLMs, ChatGPT-3.5 and ChatGPT-4, in addressing common queries related to gingival and endodontic health across different language contexts...

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Bibliographic Details
Main Authors: Qian Zhang, Zhengyu Wu, Jinlin Song, Shuicai Luo, Zhaowu Chai
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:International Dental Journal
Subjects:
Artificial intelligence
Large language models
Oral healthcare
Gingival and endodontic health
Online Access:http://www.sciencedirect.com/science/article/pii/S0020653924001953
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