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SurgeryLLM: a retrieval-augmented generation large language model framework for surgical decision support and
Chin Siang Ong1,2, Nicholas T Obey3, Yanan Zheng4
1Department of Surgery, Yale School of Medicine, New Haven, CT, USA. chinsiang.ong@yale.edu.
NPJ Digital Medicine
|December 18, 2024
Abstract:
SurgeryLLM, a large language model framework using Retrieval Augmented Generation demonstrably incorporated domain-specific knowledge from current evidence-based surgical guidelines when presented with patient-specific data. The successful incorporation of guideline-based information represents a substantial step toward enabling greater surgeon efficiency, improving patient safety, and optimizing surgical outcomes.

