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Explore the critical challenges and methodologies for evaluating generative AI models in healthcare applications through this 31-minute conference talk. Examine the importance of construct validity in medical large language model benchmarks and learn why traditional evaluation metrics may fall short in clinical contexts. Discover sample-level metrics for assessing the faithfulness of synthetic medical data and understand how to audit generative models for healthcare use cases. Delve into the evaluation of large language models as clinical agents, including their potential applications and limitations in real-world medical settings. Gain insights into best practices for ensuring that AI evaluation frameworks align with the unique requirements and constraints of healthcare environments, drawing from cutting-edge research in medical AI benchmarking and synthetic data validation.
