Guang-Hao Shen

Fine-tuning a compact large language model on real-world cases yields diagnostic performance comparable to flagship models in rheumatology.

BACKGROUND Large language models (LLMs) show strong potential in medical applications. However, most leading models are closed-source and accessible only via cloud-based APIs (application programming interfaces), raising privacy and compliance concerns when handling sensitive clinical data, while high-performing open-s...