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Guideline-enhanced large language models outperform physician-test takers on EASL Campus quizzes multiple choice questions
2
Zitationen
10
Autoren
2025
Jahr
Abstract
The recent progress in Large Language Models (LLMs) has garnered widespread attention in the medical community, especially given their ability to handle multimodal data such as images or audio-recordings. Safe deployment into clinical practice remains unclear, with a recent systematic review identifying a broad range of accuracy (6.4-91.4%) when ChatGPT answered clinical questions on digestive disease-related topics1. This wide range of performance can be attributed to the use of baseline models without incorporating external medical knowledge from relevant medical guidelines2-4.
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