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Division of Intramural Research, National Library of Medicine, National Institutes of Health
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A 3B parameter model, Med-V1, matches the evidence attribution performance of GPT-5 in biomedical contexts, offering a scalable alternative to frontier LLMs.
Clinicians using a new medical literature mining LLM, LEADS, achieved 0.81 recall vs. 0.78 without it, while saving 20.8% of their time.
Clinicians using a medical literature-specific foundation model, LEADS, achieved 23-27% time savings and improved accuracy/recall compared to working alone.
