This technical report introduces the Surgical Information Assistant, a tool designed to improve access and utilization of surgical information. Using extensive documentation from the Vanderbilt University Open Manual of Surgery for Resource-limited Settings and employing an advanced agentic retrieval system, this assistant provides prompt, precise, and context-sensitive responses to surgical inquiries. The system is also able to access a supplementary source of general information if the user’s answer is not available in the reference documents ensuring a robust and comprehensive information retrieval process. This report details the motivation, implementation, and evaluation of the Surgical Information Assistant, highlighting its potential to enhance access to vital surgical knowledge and improve medical education [1, 2]. The results demonstrate that the agentic retrieval system designed here with a small language model (llama3.2-3b) outperforms the general knowledge base of large models (GPT-4o) and other existing retrieval systems built with larger models (llama3.1-8b).

The authors have declared no competing interest.

This study did not receive any funding

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