Open access
Sep 2026
Privacy-Aware Distillation of Large Language Models for Enhanced Multimorbidity Scoring
This work introduces and evaluates a privacy-preserving knowledge distillation framework for LLM-based clinical modeling, using multimorbidity scoring as a healthcare task, and establishes a trustworthy, privacy-compliant pathway for large-scale healthcare applications of LLMs.
R. Awasthi, Yi-He Yang, Meng-Xuan Li et al.
· medRxiv · 0 citations