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Reviewed and published by trentmaziarz, July 11, 2026. Discovered and drafted by our automated research pipeline.

UMass Memorial Health tested a real-time AI system during live endoscopy procedures that analyzed video footage to classify bile duct narrowings as cancerous or benign, as part of the SMART-AI clinical trial.

Details

The SMART-AI trial, led by a physician at UMass Chan Medical School and conducted using patient procedures at UMass Memorial Health, involved connecting an AI-equipped computer directly to a cholangioscope (a tiny camera used inside bile ducts). The AI analyzed the live video stream frame-by-frame, classifying areas as malignant, suspicious, benign, or uninformative in real time. In a 41-patient trial, the AI achieved 87.8% accuracy in classifying biliary strictures, compared to 67.4% for standard sampling techniques and 63.1% for visual assessment by experienced endoscopists. Results were published in April 2026 in Clinical Gastroenterology and Hepatology.

Products affected

SMART-AI cholangioscopy system (research tool developed at UMass Chan)

Sources & Evidence

Cite this record

Trace Foundation. (2026). UMass Memorial Health: UMass Memorial Health tested a real-time AI system during live endoscopy procedures that analyzed video footage to classify bile duct narrowings as cancerous or benign, as part of the SMART-AI clinical trial (data as of 2026-07-11) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/890a06ef-ddb6-4a33-883c-ee8de0758a0a. Accessed October 9, 2026.

Stable link
https://www.aitrace.org/r/practice/890a06ef-ddb6-4a33-883c-ee8de0758a0a
Data as of
July 11, 2026
Last verified
Not recorded

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