SurgeryLLM: a retrieval-augmented generation large language model framework for surgical decision support and workflow enhancement.

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.

SUBMITTER: Ong CS 

PROVIDER: S-EPMC11655968 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature