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Heather Cole-Lewis

Showing results (21-30 of 32) with videos related to

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Nature Medicine|October 22, 2024
Safety principles for medical summarization using generative AIDillon Obika, Christopher Kelly, Nicola Ding, et al.
Journal of the American Medical Informatics Association : JAMIA|January 16, 2016
Structured scaffolding for reflection and problem solving in diabetes self-management: qualitative study of mobile diabetes detectiveLena Mamykina, Elizabeth M Heitkemper, Arlene M Smaldone, et al.
Journal of Behavioral Medicine|August 3, 2016
Behavior change interventions: the potential of ontologies for advancing science and practiceKai R Larsen, Susan Michie, Eric B Hekler, et al.
Ebiomedicine|April 2, 2024
Using generative AI to investigate medical imagery models and datasetsOran Lang, Doron Yaya-Stupp, Ilana Traynis, et al.
The Lancet. Digital Health|January 26, 2024
An intentional approach to managing bias in general purpose embedding modelsWei-Hung Weng, Andrew Sellergen, Atilla P Kiraly, et al.
Nature Medicine|October 26, 2023
The value of standards for health datasets in artificial intelligence-based applicationsAnmol Arora, Joseph E Alderman, Joanne Palmer, 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.
Nature Medicine|September 23, 2024
A toolbox for surfacing health equity harms and biases in large language modelsStephen R Pfohl, Heather Cole-Lewis, Rory Sayres, et al.
Nature|July 27, 2023
Publisher Correction: Large language models encode clinical knowledgeKaran Singhal, Shekoofeh Azizi, Tao Tu, et al.
Nature|July 12, 2023
Large language models encode clinical knowledgeKaran Singhal, Shekoofeh Azizi, Tao Tu, et al.
Pageof 4

Showing results (21-30 of 32) with videos related to

Sort By:
Pageof 4
Nature Medicine|October 22, 2024
Safety principles for medical summarization using generative AIDillon Obika, Christopher Kelly, Nicola Ding, et al.
Journal of the American Medical Informatics Association : JAMIA|January 16, 2016
Structured scaffolding for reflection and problem solving in diabetes self-management: qualitative study of mobile diabetes detectiveLena Mamykina, Elizabeth M Heitkemper, Arlene M Smaldone, et al.
Journal of Behavioral Medicine|August 3, 2016
Behavior change interventions: the potential of ontologies for advancing science and practiceKai R Larsen, Susan Michie, Eric B Hekler, et al.
Ebiomedicine|April 2, 2024
Using generative AI to investigate medical imagery models and datasetsOran Lang, Doron Yaya-Stupp, Ilana Traynis, et al.
The Lancet. Digital Health|January 26, 2024
An intentional approach to managing bias in general purpose embedding modelsWei-Hung Weng, Andrew Sellergen, Atilla P Kiraly, et al.
Nature Medicine|October 26, 2023
The value of standards for health datasets in artificial intelligence-based applicationsAnmol Arora, Joseph E Alderman, Joanne Palmer, 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.
Nature Medicine|September 23, 2024
A toolbox for surfacing health equity harms and biases in large language modelsStephen R Pfohl, Heather Cole-Lewis, Rory Sayres, et al.
Nature|July 27, 2023
Publisher Correction: Large language models encode clinical knowledgeKaran Singhal, Shekoofeh Azizi, Tao Tu, et al.
Nature|July 12, 2023
Large language models encode clinical knowledgeKaran Singhal, Shekoofeh Azizi, Tao Tu, et al.
Pageof 4