Call for algorithmic fairness to mitigate amplification of racial biases in artificial intelligence models used in orthodontics and craniofacial health.

Allareddy, Veerasathpurush; Oubaidin, Maysaa; Rampa, Sankeerth; Venugopalan, Shankar Rengasamy; Elnagar, Mohammed H; Yadav, Sumit; Lee, Min Kyeong

Allareddy, Veerasathpurush; Oubaidin, Maysaa; Rampa, Sankeerth; Venugopalan, Shankar Rengasamy; Elnagar, Mohammed H; Yadav, Sumit; Lee, Min Kyeong.

Afiliación

Allareddy V; Department of Orthodontics, University of Illinois Chicago College of Dentistry, Chicago, Illinois, USA.
Oubaidin M; Department of Orthodontics, University of Illinois Chicago College of Dentistry, Chicago, Illinois, USA.
Rampa S; Health Care Administration Program, School of Business, Rhode Island College, Providence, Rhode Island, USA.
Venugopalan SR; Department of Orthodontics, Tufts University School of Dental Medicine, Boston, Massachusetts, USA.
Elnagar MH; Department of Orthodontics, University of Illinois Chicago College of Dentistry, Chicago, Illinois, USA.
Yadav S; Department of Orthodontics, University of Nebraska Medical Center, Lincoln, Nebraska, USA.
Lee MK; Department of Orthodontics, University of Illinois Chicago College of Dentistry, Chicago, Illinois, USA.

Orthod Craniofac Res ; 26 Suppl 1: 124-130, 2023 Dec.

Article en En | MEDLINE | ID: mdl-37846615

Asunto(s)

Inteligencia Artificial; Aprendizaje Automático; Sesgo

Palabras clave

algorithms; artificial intelligence; ethnoracial disparities; health disparities; machine learning; racial bias

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Aprendizaje Automático Idioma: En Revista: Orthod Craniofac Res Asunto de la revista: ODONTOLOGIA / ORTODONTIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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