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Greg S Corrado

Showing results (51-60 of 66) with videos related to

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Ebiomedicine|June 3, 2025
Closing the AI generalisation gap by adjusting for dermatology condition distribution differences across clinical settingsRajeev V Rikhye, Aaron Loh, Grace Eunhae Hong, et al.
Nature|April 9, 2025
Towards accurate differential diagnosis with large language modelsDaniel McDuff, Mike Schaekermann, Tao Tu, et al.
JAMA Network Open|July 9, 2026
Generalization of AI-Based Gestational Age Assessment Using Blind Sweep UltrasonographyAngelica Willis, Chace Lee, Justin Krogue, et al.
Eclinicalmedicine|April 30, 2024
Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case studyMike Schaekermann, Terry Spitz, Malcolm Pyles, et al.
Breast Cancer Research and Treatment|January 29, 2025
Triaging mammography with artificial intelligence: an implementation studySarah M Friedewald, Marcin Sieniek, Sunny Jansen, et al.
NPJ Digital Medicine|July 16, 2019
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening programPaisan Raumviboonsuk, Jonathan Krause, Peranut Chotcomwongse, et al.
NPJ Digital Medicine|July 26, 2019
Erratum: Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening programPaisan Ruamviboonsuk, Jonathan Krause, Peranut Chotcomwongse, et al.
JAMA Oncology|July 24, 2020
Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy SpecimensKunal Nagpal, Davis Foote, Fraser Tan, et al.
Nature|July 12, 2023
Large language models encode clinical knowledgeKaran Singhal, Shekoofeh Azizi, Tao Tu, et al.
Nature|January 3, 2020
International evaluation of an AI system for breast cancer screeningScott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
Pageof 7

Showing results (51-60 of 66) with videos related to

Sort By:
Pageof 7
Ebiomedicine|June 3, 2025
Closing the AI generalisation gap by adjusting for dermatology condition distribution differences across clinical settingsRajeev V Rikhye, Aaron Loh, Grace Eunhae Hong, et al.
Nature|April 9, 2025
Towards accurate differential diagnosis with large language modelsDaniel McDuff, Mike Schaekermann, Tao Tu, et al.
JAMA Network Open|July 9, 2026
Generalization of AI-Based Gestational Age Assessment Using Blind Sweep UltrasonographyAngelica Willis, Chace Lee, Justin Krogue, et al.
Eclinicalmedicine|April 30, 2024
Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case studyMike Schaekermann, Terry Spitz, Malcolm Pyles, et al.
Breast Cancer Research and Treatment|January 29, 2025
Triaging mammography with artificial intelligence: an implementation studySarah M Friedewald, Marcin Sieniek, Sunny Jansen, et al.
NPJ Digital Medicine|July 16, 2019
Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening programPaisan Raumviboonsuk, Jonathan Krause, Peranut Chotcomwongse, et al.
NPJ Digital Medicine|July 26, 2019
Erratum: Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening programPaisan Ruamviboonsuk, Jonathan Krause, Peranut Chotcomwongse, et al.
JAMA Oncology|July 24, 2020
Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy SpecimensKunal Nagpal, Davis Foote, Fraser Tan, et al.
Nature|July 12, 2023
Large language models encode clinical knowledgeKaran Singhal, Shekoofeh Azizi, Tao Tu, et al.
Nature|January 3, 2020
International evaluation of an AI system for breast cancer screeningScott Mayer McKinney, Marcin Sieniek, Varun Godbole, et al.
Pageof 7