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Healthcare s silent battle: how AI algorithms affect minorities?

Healthcare s silent battle: how AI algorithms affect minorities?
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United kingdomCity ofJudy gichoyaUniversity of edinburghEmory university

Preview of Society for Imaging Informatics in Medicine Annual Meeting (SIIM23), InformaticsTECH Expo and SIIM-ACR Data Science Summit

Imaging Informaticists from around the country will be gathering in Austin, TX from June 14-16 for the Annual Meeting of the Society for Imaging Informatics in Medicine (SIMM23). Imaging Technology News has compiled a summary of key program highlights of leading industry experts, educational sessions on hot topics, practitioners at all career levels and specialties, product vendors and special events to be presented by SIIM at the Austin Convention Center.

San franciscoUnited statesChristopher rothZlad obermeyerHao chenMike tilkinWoojin kimJamest whitfillBrett strassnerKeithj dreyerPaul yiTerim sippel schmidtRichard bruceRichard wigginsMelissa chenSamuelj dwyer

Hidden in Plain Sight: If AI Can Detect Race, What About Bias?

An AI model accurately predicts a person s race from a chest radiograph with stunning accuracy. Here s why it matters, and how it poses research questions about bias in medicine.

United statesNairobi areaAddis ababaEricj topolJudy gichoyaZiad obermeyerChih kuoAbraham vergheseEric topolIndiana universityLacuna fundEmory universityMoi universityNational institutes of healthNational science foundationPurdue university in indianapolis

Acclaim: Recent honors for Emory faculty and staff

Emory faculty and staff are frequently recognized for their work locally, nationally and internationally. Read a sampling of recent accolades, including awards for professional contributions and leadership appointments.

New yorkUnited statesUnited kingdomEmory universityUniversity hospitalUnited methodist churchEmory university hospitalDrexel universityCapitol hillDistrict of columbiaEmory university school of medicineMetropolitan museum of artNew yorkerTodd goldeGaryj becker youngC matthew hawkins

Keeping race out of machine learning isn t enough to avoid bias

Researchers at MIT and IBM Research have shown that algorithms based solely on clinical notes could predict self-identified race.

Judy gichoyaMarzyeh ghassemiLeo anthony celiJohns hopkins universityEmory universityBeth israel deaconess medical centerMassachusetts institute of technologyBayesian healthColumbia university medical centerLancet digital healthMassachusetts instituteSuchi sariaCleo anthony