DiscoverThe Digital Patient176: Stanford Health Care’s Dr. Mike Pfeffer: Why we Shouldn't Always Want "Human in the Loop" for AI, Why Prediction Models are Only as Useful as the Problems they Solve & How AI Scribes Must Evolve
176: Stanford Health Care’s Dr. Mike Pfeffer: Why we Shouldn't Always Want "Human in the Loop" for AI, Why Prediction Models are Only as Useful as the Problems they Solve & How AI Scribes Must Evolve

176: Stanford Health Care’s Dr. Mike Pfeffer: Why we Shouldn't Always Want "Human in the Loop" for AI, Why Prediction Models are Only as Useful as the Problems they Solve & How AI Scribes Must Evolve

Update: 2025-04-24
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On this episode of The Digital Patient, Dr. Joshua Liu, Co-founder & CEO of SeamlessMD, and colleague, Alan Sardana, chat with Dr. Michael Pfeffer, Chief Information and Digital Officer at Stanford Health Care and Stanford University School of Medicine, and Associate Dean at Stanford University School of Medicine, about "Why we Shouldn't Always Want "Human in the Loop" for AI, Why Prediction Models are Only as Useful as the Problems they Solve, Where AI Scribes Must Evolve, and more..."

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176: Stanford Health Care’s Dr. Mike Pfeffer: Why we Shouldn't Always Want "Human in the Loop" for AI, Why Prediction Models are Only as Useful as the Problems they Solve & How AI Scribes Must Evolve

176: Stanford Health Care’s Dr. Mike Pfeffer: Why we Shouldn't Always Want "Human in the Loop" for AI, Why Prediction Models are Only as Useful as the Problems they Solve & How AI Scribes Must Evolve

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