The Radiology: Artificial Intelligence Trainee Editorial Board: Initial Experience and Future Directions.

Staziaki, Pedro V; Yi, Paul H; Li, Matthew D; Daye, Dania; Kahn, Charles E; Gichoya, Judy W

Staziaki, Pedro V; Yi, Paul H; Li, Matthew D; Daye, Dania; Kahn, Charles E; Gichoya, Judy W.

Afiliação

Staziaki PV; Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114. Electronic address: staziaki@gmail.com.
Yi PH; Department of Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland.
Li MD; Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114.
Daye D; Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114.
Kahn CE; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
Gichoya JW; Department of Radiology, Emory University, Atlanta, Georgia.

Acad Radiol ; 29(12): 1899-1902, 2022 12.

Article em En | MEDLINE | ID: mdl-35606258

Assuntos

Radiologia; Estudantes de Medicina; Humanos; Inteligência Artificial; Radiologia/educação; Radiologistas; Radiografia

Palavras-chave

Artificial Intelligence; Education, Medical; Research

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radiologia / Estudantes de Medicina Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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