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Classification of biliary strictures using real-time cholangioscopy artificial intelligence: the SMART-AI trial

delete2026-04-09
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PRE
AI
N
Neil B. Marya *
P
Patrick D. Powers
M
Matthew Marcello
P
Prashanth Rau
N
Navine Nasser-Ghodsi
C
Christopher Marshall
J
J Zivný
J
Jad P. AbiMansour
V
Vinay Chandrasekhara
DOI:10.1016/j.cgh.2026.03.033delete
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Abstract

Abstract

En 中文
Sampling techniques have poor accuracy for classifying biliary strictures as benign or malignant. Previously, a cholangioscopy artificial intelligence (AI) outperformed sampling techniques based solely on analysis of previously recorded cholangioscopy footage.
Keywords:
biliary strictures
cholangioscopy
artificial intelligence
real-time classification
diagnostic accuracy

Journal

Clinical Gastroenterology and Hepatology cover
Clinical Gastroenterology and Hepatology
IF:
12
Papers:
9.6K
Citations:
3.1W

Organization

M
Mayo Clinic
Scholars:
1.0W
Papers: 4.0K
Citations: 5.1W
U
umass chan medical school
Scholars:
179
Papers: 85
Citations: 0