Artificial intelligence in medical imaging for cholangiocarcinoma diagnosis: A systematic review with scientometric analysis.
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| Title: | Artificial intelligence in medical imaging for cholangiocarcinoma diagnosis: A systematic review with scientometric analysis. |
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| Authors: | Njei B; Investigative Medicine Program, Yale University School of Medicine, New Haven, Connecticut, USA.; Oxford Artificial Intelligence Programme, University of Oxford, Oxford, UK.; Global Clinical Scholars Research Training Program, Harvard Medical School, Boston, Massachusetts, USA., Kanmounye US; Global Clinical Scholars Research Training Program, Harvard Medical School, Boston, Massachusetts, USA.; Research Department, Association of Future African Neurosurgeons, Yaounde, Cameroon., Seto N; Lake Erie College of Osteopathic Medicine, Erie, Pennsylvania, USA., McCarty TR; Houston Methodist Hospital, Lynda K. and David M. Underwood Center for Digestive Disorders, Houston, TX, USA., Mohan BP; Gastroenterology and Hepatology Department, University of Utah Health, Salt Lake City, Utah, USA., Fozo L; Johns Hopkins University, Baltimore, Maryland, USA., Navaneethan U; Center for IBD, Orlando Health Digestive Health Institute, Orlando, Florida, USA. |
| Source: | Journal of gastroenterology and hepatology [J Gastroenterol Hepatol] 2023 Jun; Vol. 38 (6), pp. 874-882. Date of Electronic Publication: 2023 Mar 28. |
| Publication Type: | Systematic Review; Journal Article |
| Journal Info: | Publisher: Blackwell Scientific Publications Country of Publication: Australia NLM ID: 8607909 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1440-1746 (Electronic) Linking ISSN: 08159319 NLM ISO Abbreviation: J Gastroenterol Hepatol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1440-1746 |
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| DOI: | 10.1111/jgh.16180 |
