
From Theory to Therapy: The Evolution of AI in Medicine with Dr. Daphne Koller
NEJM AI Grand Rounds
Evolution of AI in Medicine
The chapter explores the progression of AI in medicine, discussing the shift towards decision-making under uncertainty and the adoption of machine learning models. The speaker recounts their journey as a machine learning pioneer at Stanford, emphasizing the importance of data-driven approaches in the field. Insights are shared on transitioning from logic-based methods to probabilistic approaches, reflecting on the current trend of integrating causality for common sense reasoning and practical applications in biology and medicine.
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