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Explore the fundamental principles and challenges of developing foundation models specifically for healthcare and medical applications in this 30-minute conference talk. Examine what distinguishes effective foundation models in the medical domain, including their unique requirements for handling structured electronic health records, clinical prediction tasks, and multimodal medical data. Learn about recent advances in clinically meaningful evaluation frameworks for foundation models working with EHR data, and understand the complexities of multimodal informativeness when dealing with missing medical information. Discover how long context models perform in clinical prediction scenarios and gain insights into the specific considerations that make healthcare foundation models different from general-purpose AI systems. Delve into cutting-edge research findings on model evaluation, data missingness challenges, and the practical implementation of AI systems in clinical environments.
