SurgeryLLM: a retrieval-augmented generation large language model framework for surgical decision support and workflow enhancement.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 39695316.
- Also identified by DOI 10.1038/s41746-024-01391-3 and PMC identifier 11655968.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.