Effectiveness of various general large language models in clinical consensus and case analysis in dental implantology: a comparative study

ChatGPT-4 is the most reliable model for handling medical questions, followed by Gemini Pro 1.5(0801). Qwen 2.0 72B shows potential but lacks consistency, and Claude 3 Opus performs poorly overall. Combining multiple models is recommended for comprehensive medical decision-making.

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2025-03-26
DOI
https://doi.org/10.1186/s12911-025-02972-2
Citations
9
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
5.89
Controls
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article

Effectiveness of various general large language models in clinical consensus and case analysis in dental implantology: a comparative study

Mei Xu, Yuchen Zheng, Jinzhi Chen, Yukang Zhang et al.
9 citations
BMC Medical Informatics and Decision Making
Artificial Intelligence in Healthcare and Education
5.89
article

Effectiveness of various general large language models in clinical consensus and case analysis in dental implantology: a comparative study

Mei Xu, Yuchen Zheng, Jinzhi Chen, Yukang Zhang, Yang Xue, Yuepeng Wu
article en
9 citations

Abstract

ChatGPT-4 is the most reliable model for handling medical questions, followed by Gemini Pro 1.5(0801). Qwen 2.0 72B shows potential but lacks consistency, and Claude 3 Opus performs poorly overall. Combining multiple models is recommended for comprehensive medical decision-making.

BMC Medical Informatics and Decision MakingVol. 25(1)
Hohai University (CN), Zhejiang Provincial People's Hospital (CN), Hangzhou Medical College (CN)
Quality Education
Openalex Percentile: Top 4%
Artificial Intelligence in Healthcare and Education
5.89
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Effectiveness of various general large language models in clinical consensus and case analysis in dental implantology: a comparative study — Mei Xu, Yuchen Zheng, et al. · BMC Medical Informatics and Decision Making (2025) | TGRS Research Map | TGRS