Article

Evaluation of Large Language Models in the Clinical Management of Patients With Upper Gastrointestinal Bleeding : Insights From Real-World Patient Data

2025-11-13

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> Upper gastrointestinal bleeding (UGIB) is a life-threatening emergency requiring rapid risk assessment. Current scoring tools have limited accuracy. Large language models (LLMs) may support clinical decision-making, but their role in UGIB management is unclear. This study evaluated LLMs for patient risk classification, prediction of endoscopic findings, and alignment with rou...

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Literature Corpus work: 35472fd4-9822-5f9a-9771-fb007bc230ab
DOI: 10.1101/2025.11.10.25339858

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