Impact of Artificial Intelligence on Pancreaticobiliary Endoscopy
dc.contributor.author | Jain, Aryan | |
dc.contributor.author | Pabba, Mayur | |
dc.contributor.author | Jain, Aditya | |
dc.contributor.author | Singh, Sahib | |
dc.contributor.author | Ali, Hassam | |
dc.contributor.author | Vinayek, Rakesh | |
dc.contributor.author | Aswath, Ganesh | |
dc.contributor.author | Sharma, Neil | |
dc.contributor.author | Inamdar, Sumant | |
dc.contributor.author | Facciorusso, Antonio | |
dc.contributor.department | Medicine, School of Medicine | |
dc.date.accessioned | 2025-03-20T14:41:53Z | |
dc.date.available | 2025-03-20T14:41:53Z | |
dc.date.issued | 2025-01-24 | |
dc.description.abstract | Pancreaticobiliary diseases can lead to significant morbidity and their diagnoses rely on imaging and endoscopy which are dependent on operator expertise. Artificial intelligence (AI) has seen a rapid uptake in the field of luminal endoscopy, such as polyp detection during colonoscopy. However, its use for pancreaticobiliary endoscopic modalities such as endoscopic ultrasound (EUS) and cholangioscopy remains scarce, with only few studies available. In this review, we delve into the current evidence, benefits, limitations, and future scope of AI technologies in pancreaticobiliary endoscopy. | |
dc.eprint.version | Final published version | |
dc.identifier.citation | Jain A, Pabba M, Jain A, et al. Impact of Artificial Intelligence on Pancreaticobiliary Endoscopy. Cancers (Basel). 2025;17(3):379. Published 2025 Jan 24. doi:10.3390/cancers17030379 | |
dc.identifier.uri | https://hdl.handle.net/1805/46423 | |
dc.language.iso | en_US | |
dc.publisher | MDPI | |
dc.relation.isversionof | 10.3390/cancers17030379 | |
dc.relation.journal | Cancers | |
dc.rights | Attribution 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.source | PMC | |
dc.subject | Artificial intelligence | |
dc.subject | Endoscopic ultrasound | |
dc.subject | Cholangioscopy | |
dc.subject | Pancreaticobiliary disorders | |
dc.subject | Diagnostic accuracy | |
dc.subject | Pancreatic lesions | |
dc.subject | Biliary strictures | |
dc.subject | Cholangiocarcinoma | |
dc.subject | Ethical considerations | |
dc.subject | Data privacy | |
dc.title | Impact of Artificial Intelligence on Pancreaticobiliary Endoscopy | |
dc.type | Article |