PLACID: Privacy-preserving Large language models for Acronym Clinical Inference and Disambiguation

Researchers developed PLACID, a privacy-preserving system using small on-device AI models (2B-10B parameters) for clinical acronym disambiguation in healthcare settings. The cascaded approach combines general-purpose models for detection with domain-specific biomedical models, achieving 81% expansion accuracy while keeping sensitive health data local.