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Artificial Intelligence Applied to Gastrointestinal Diagnostics: A Review.
Patel, Vatsal; Khan, Marium N; Shrivastava, Aman; Sadiq, Kamran; Ali, S Asad; Moore, Sean R; Brown, Donald E; Syed, Sana.
Afiliação
  • Patel V; School of Medicine.
  • Khan MN; Department of Pediatrics, Division of Gastroenterology.
  • Shrivastava A; Data Science Institute, University of Virginia, Charlottesville, VA.
  • Sadiq K; Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • Ali SA; Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • Moore SR; Department of Pediatrics, Division of Gastroenterology.
  • Brown DE; Data Science Institute, University of Virginia, Charlottesville, VA.
  • Syed S; Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA.
J Pediatr Gastroenterol Nutr ; 70(1): 4-11, 2020 01.
Article em En | MEDLINE | ID: mdl-31567886
ABSTRACT
Artificial intelligence (AI), a discipline encompassed by data science, has seen recent rapid growth in its application to healthcare and beyond, and is now an integral part of daily life. Uses of AI in gastroenterology include the automated detection of disease and differentiation of pathology subtypes and disease severity. Although a majority of AI research in gastroenterology focuses on adult applications, there are a number of pediatric pathologies that could benefit from more research. As new and improved diagnostic tools become available and more information is retrieved from them, AI could provide physicians a method to distill enormous amounts of data into enhanced decision-making and cost saving for children with digestive disorders. This review provides a broad overview of AI and examples of its possible applications in pediatric gastroenterology.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pediatria / Inteligência Artificial / Técnicas de Diagnóstico do Sistema Digestório / Gastroenterologia Tipo de estudo: Diagnostic_studies Limite: Child / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pediatria / Inteligência Artificial / Técnicas de Diagnóstico do Sistema Digestório / Gastroenterologia Tipo de estudo: Diagnostic_studies Limite: Child / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article