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Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians

Krishnamurthy Dvijotham, Jim Winkens, Melih Barsbey, Sumedh Ghaisas, Robert Stanforth, Nick Pawlowski, Patricia H. Strachan, Zahra S. Ahmed, Shekoofeh Azizi, Yoram Bachrach, Laura Culp, Mayank Daswani, Jan Freyberg, Christopher Kelly, Atilla P. Kiraly, Timo Kohlberger, Scott McKinney, Basil Mustafa, Vivek Natarajan, Krzysztof J. Geras, Jan Witowski, Zhi Zhen Qin, Jacob Creswell, Shravya Shetty, Marcin Sieniek, Terry Spitz, Greg S. Corrado, Pushmeet Kohli, Ali Taylan Cemgil, Alan Karthikesalingam

2023Nature Medicine111 citationsDOI

Topics & Concepts

DeferralComplementarity (molecular biology)Reliability (semiconductor)MedicineReliability engineeringComputer scienceIntensive care medicineEconomicsBiologyEngineeringGeneticsPower (physics)PhysicsQuantum mechanicsAccountingArtificial Intelligence in Healthcare and EducationAI in cancer detectionCOVID-19 diagnosis using AI
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians | Litcius