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Google’s Efforts to Build Patient-Facing AI: A Conversation with Drs. Alan Karthikesalingam and Anil Palepu

NEJM AI Grand Rounds

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Advancements in Conversational AI for Medicine

This chapter explores the innovative application of conversational diagnostic AI in biomedicine, highlighting the research collaboration between two scholars. They discuss the development of empathetic AI systems that simulate doctor-patient interactions and the surprising effectiveness of synthetic data in training these models. The conversation also addresses the evolution of machine learning methods and the challenges of using both human-generated and synthetic training data in medical contexts.

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