The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning.

Guleria, Shan; Schwartz, Benjamin; Sharma, Yash; Fernandes, Philip; Jablonski, James; Adewole, Sodiq; Srivastava, Sanjana; Rhoads, Fisher; Porter, Michael; Yeghyayan, Michelle; Hyatt, Dylan; Copland, Andrew; Ehsan, Lubaina; Brown, Donald; Syed, Sana

Guleria, Shan; Schwartz, Benjamin; Sharma, Yash; Fernandes, Philip; Jablonski, James; Adewole, Sodiq; Srivastava, Sanjana; Rhoads, Fisher; Porter, Michael; Yeghyayan, Michelle; Hyatt, Dylan; Copland, Andrew; Ehsan, Lubaina; Brown, Donald; Syed, Sana.

Afiliación

Guleria S; Rush University Medical Center, Department of Internal Medicine. Chicago, IL 60607.
Schwartz B; Rush University Medical Center, Department of Internal Medicine. Chicago, IL 60607.
Sharma Y; University of Virginia, Systems and Information Engineering. Charlottesville, VA 22903.
Fernandes P; University of Virginia, Department of Pediatrics. Charlottesville, VA 22903.
Jablonski J; University of Virginia, Systems and Information Engineering. Charlottesville, VA 22903.
Adewole S; University of Virginia, Systems and Information Engineering. Charlottesville, VA 22903.
Srivastava S; University of Virginia, Department of Pediatrics. Charlottesville, VA 22903.
Rhoads F; University of Virginia, Department of Pediatrics. Charlottesville, VA 22903.
Porter M; University of Virginia, Systems and Information Engineering. Charlottesville, VA 22903.
Yeghyayan M; University of Virginia, Department of Pediatrics. Charlottesville, VA 22903.
Hyatt D; University of Virginia, Department of Pediatrics. Charlottesville, VA 22903.
Copland A; University of Virginia, Department of Pediatrics. Charlottesville, VA 22903.
Ehsan L; University of Virginia, Department of Pediatrics. Charlottesville, VA 22903.
Brown D; University of Virginia, Data Science Institute. Charlottesville, VA 22903.
Syed S; University of Virginia, Department of Pediatrics. Charlottesville, VA 22903.

ArXiv ; 2023 Aug 24.

Article en En | MEDLINE | ID: mdl-37664408

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: ArXiv Año: 2023 Tipo del documento: Article