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Heather Cole

Showing results (41-50 of 50) with videos related to

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Cancer|April 25, 2024
Disparities in clinical trial enrollment at a Canadian comprehensive cancer center: A 15-year retrospective studyGilla K Shapiro, Anna T Santiago, Tyler Pittman, 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.
Nature Medicine|January 8, 2025
Toward expert-level medical question answering with large language modelsKaran Singhal, Tao Tu, Juraj Gottweis, et al.
The Lancet. Digital Health|December 19, 2024
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendationsJoseph E Alderman, Joanne Palmer, Elinor Laws, et al.
Pageof 5

Showing results (41-50 of 50) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 50 results.
Cancer|April 25, 2024
Disparities in clinical trial enrollment at a Canadian comprehensive cancer center: A 15-year retrospective studyGilla K Shapiro, Anna T Santiago, Tyler Pittman, 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.
Nature Medicine|January 8, 2025
Toward expert-level medical question answering with large language modelsKaran Singhal, Tao Tu, Juraj Gottweis, et al.
The Lancet. Digital Health|December 19, 2024
Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendationsJoseph E Alderman, Joanne Palmer, Elinor Laws, et al.
Pageof 5