About this document
Ai 06 00297 by junhyukp087 is a document available to read on EtoBox.
This study evaluates the effectiveness of four large language models (LLMs) in detecting medical errors within ophthalmology documentation. The models were assessed on their ability to identify predefined errors and provide actionable corrections, revealing that the proprietary model o3 outperformed its open-source counterparts. Findings suggest that LLMs can serve as valuable tools for enhancing accuracy in clinical documentation, though careful integration and oversight are necessary for clinical applicat
- Author
- junhyukp087
- Language
- EN