A LoRA-tuned LLaMA-v3 achieves 99.94% ground-truth pathology accuracy for differential diagnosis on the synthetic DDXPlus dataset and is deployed in a privacy-preserving web platform.
Annals of Biomedical Engineering52(5), 1119– 1124 (2024)
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LLM-Driven Medical Document Analysis: Enhancing Trustworthy Pathology and Differential Diagnosis
A LoRA-tuned LLaMA-v3 achieves 99.94% ground-truth pathology accuracy for differential diagnosis on the synthetic DDXPlus dataset and is deployed in a privacy-preserving web platform.