Foundation Models for Medical Diagnosis and Clinical Decision Support
Date:
Invited lecture on the latest advances in medical foundation models and their applications in clinical practice. Presented the MedLA (Medical Logic-driven Agent) framework for interpretable diagnostic reasoning using large language models. Discussed multi-agent systems that integrate medical knowledge graphs, clinical guidelines, and patient data for comprehensive diagnosis support. Covered challenges in medical AI including reliability, explainability, and handling rare diseases. Demonstrated real-world case studies showing improved diagnostic accuracy and reduced physician cognitive load. Explored regulatory considerations and pathways for clinical deployment of AI diagnostic assistants.