Medical Artificial Intelligence: Bridging Research and Clinical Practice
Date:
Comprehensive seminar on medical AI technologies and their translation to clinical practice. Presented work on foundation models for medical diagnosis, including the MedLA framework for interpretable clinical reasoning. Covered natural language processing for electronic health records, computer vision for medical imaging, and knowledge graph construction for clinical decision support. Discussed challenges in model validation, handling distribution shift between institutions, and ensuring patient safety. Demonstrated collaborative projects with Ant Group on developing scalable medical AI platforms, including diagnostic chatbots, automated report generation, and real-time clinical alert systems. Addressed ethical considerations and regulatory compliance for medical AI deployment.