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December 18, 2024SHILAP Revista de lepidopterología44 citationsOpen Access

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

COChin Siang OngNONicholas T. ObeyYZYanan Zheng

Structured PICO

Does SurgeryLLM incorporate domain-specific knowledge from surgical guidelines when presented with patient-specific data?

P
Population
Patient-specific data presented to the model
I
Intervention
SurgeryLLM (a retrieval-augmented generation large language model framework)
O
Outcome
Incorporation of domain-specific knowledge from current evidence-based surgical guidelines

The SurgeryLLM framework successfully incorporates guideline-based information, representing a substantial step toward enabling greater surgeon efficiency and improving patient safety.

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.

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Cite This Study

Ong et al. (2024) studied this question.

synapsesocial.com/papers/69d847f6d56ca42147d181d9https://doi.org/10.1038/s41746-024-01391-3
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