Applying Artificial Intelligence to Gynecologic Oncology: A Review.

Mysona, David Pierce; Kapp, Daniel S; Rohatgi, Atharva; Lee, Danny; Mann, Amandeep K; Tran, Paul; Tran, Lynn; She, Jin-Xiong; Chan, John K

Mysona, David Pierce; Kapp, Daniel S; Rohatgi, Atharva; Lee, Danny; Mann, Amandeep K; Tran, Paul; Tran, Lynn; She, Jin-Xiong; Chan, John K.

Afiliación

Mysona DP; Resident Physician, University of North Carolina, Chapel Hill, NC.
Kapp DS; Professor, Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA.
Rohatgi A; Undergraduate Student, University of California-Davis, Davis, CA.
Lee D; Undergraduate Student, University of California-Berkeley, Berkeley, CA.
Mann AK; Quantitative Research Analyst, Palo Alto Medical Foundation Research Institute, Palo Alto, CA.
Tran P; MD/Phd Student.
Tran L; MD/Phd Student.
She JX; Professor and Director of the Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta, GA.
Chan JK; Director of Gynecologic Oncology, Palo Alto Medical Foundation Research Institute, Palo Alto, CA.

Obstet Gynecol Surv ; 76(5): 292-301, 2021 May.

Article en En | MEDLINE | ID: mdl-34032861

Asunto(s)

Inteligencia Artificial; Neoplasias del Cuello Uterino; Algoritmos; Femenino; Humanos; Tamizaje Masivo; Oncología Médica

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Neoplasias del Cuello Uterino Tipo de estudio: Prognostic_studies / Screening_studies Límite: Female / Humans Idioma: En Revista: Obstet Gynecol Surv Año: 2021 Tipo del documento: Article País de afiliación: Nueva Caledonia Pais de publicación: Estados Unidos

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