AtlasGPT: a language model grounded in neurosurgery with domain-specific data and document retrieval.
Journal:
Journal of neurosurgery
Published Date:
Apr 18, 2025
Abstract
OBJECTIVE: Large language models (LLMs) have shown promising performance on medical licensing examinations, but their ability to excel in subspecialty domains and their robustness under adversarial conditions remain unclear. Herein, the authors present AtlasGPT, a subspecialty-focused LLM for neurosurgery, and evaluate its performance on a benchmark multiple-choice question bank and under adversarial testing, as well as its ability to generate high-quality explanations.
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