Artificial intelligence in medical imaging for cholangiocarcinoma diagnosis: A systematic review with scientometric analysis.

Njei, Basile; Kanmounye, Ulrick Sidney; Seto, Nancy; McCarty, Thomas R; Mohan, Babu P; Fozo, Lydia; Navaneethan, Udayakumar

Njei, Basile; Kanmounye, Ulrick Sidney; Seto, Nancy; McCarty, Thomas R; Mohan, Babu P; Fozo, Lydia; Navaneethan, Udayakumar.

Affiliation

Njei B; Investigative Medicine Program, Yale University School of Medicine, New Haven, Connecticut, USA.
Kanmounye US; Oxford Artificial Intelligence Programme, University of Oxford, Oxford, UK.
Seto N; Global Clinical Scholars Research Training Program, Harvard Medical School, Boston, Massachusetts, USA.
McCarty TR; Global Clinical Scholars Research Training Program, Harvard Medical School, Boston, Massachusetts, USA.
Mohan BP; Research Department, Association of Future African Neurosurgeons, Yaounde, Cameroon.
Fozo L; Lake Erie College of Osteopathic Medicine, Erie, Pennsylvania, USA.
Navaneethan U; Houston Methodist Hospital, Lynda K. and David M. Underwood Center for Digestive Disorders, Houston, TX, USA.

J Gastroenterol Hepatol ; 38(6): 874-882, 2023 Jun.

Article de En | MEDLINE | ID: mdl-36919223

Sujet(s)
Mots clés

Artificial intelligence; Cholangiocarcinoma; Imaging; Scientometrics; Systematic review

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Tumeurs des canaux biliaires / Cholangiocarcinome Type d'étude: Diagnostic_studies / Systematic_reviews Limites: Humans Langue: En Journal: J Gastroenterol Hepatol Sujet du journal: GASTROENTEROLOGIA Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

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