The Role of Artificial Intelligence Combined With Digital Cholangioscopy for Indeterminant and Malignant Biliary Strictures
Artificial intelligence-based machine learning of cholangioscopy images appears to be a promising modality for the diagnosis of indeterminant and malignant biliary strictures.
Authors
- Thomas R. McCarty (ORCID: https://orcid.org/0000-0003-4517-5261)
- Nabeel Moon (ORCID: https://orcid.org/0000-0002-7295-1185)
- Basile Njei (ORCID: https://orcid.org/0000-0003-0714-4368)
- Raj J. Shah (ORCID: https://orcid.org/0000-0002-9736-4139)
- Ronan Allencherril (ORCID: https://orcid.org/0000-0002-1266-9102)
Institutions
- Cornell University (US)
- The Ohio State University Wexner Medical Center (US)
- Yale University (US)
- Methodist Hospital (US)
- Texas A&M University (US)
- Bryan College (US)
Publication Details
- Journal
- Journal of Clinical Gastroenterology
- Published
- 2025-02-19
- DOI
- https://doi.org/10.1097/mcg.0000000000002148
- Citations
- 1
- Primary Topic
- Gallbladder and Bile Duct Disorders
- Type
- article
- Field-Weighted Citation Impact
- 1.52