Cholangioscopy · Biliary-stricture evaluation
See the stricture. Clarify the risk.
AI-assisted detection and differentiation of benign and malignant biliary strictures during live and previously acquired digital cholangioscopy.
BILIARY STRICTURE ANALYSIS LIVE AI
MALIGNANCY RISKAI DIFFERENTIATION
BENIGNMALIGNANT
01 · Intended use
AI assistance for indeterminate biliary strictures.
Smart Cholangio® is a non-invasive deep-learning technology developed to assist malignancy-risk evaluation in digital single-operator cholangioscopy.
It automatically identifies biliary strictures and differentiates benign from malignant findings during live examinations and in previously acquired D-SOC videos.
AI
The clinical challenge
Visual uncertainty can delay the right intervention.
Indeterminate biliary strictures remain difficult to classify. Malignant disease may be diagnosed late, while inconclusive findings can lead to repeated procedures and delayed treatment.
“The critical step is turning direct visualization into a confident, targeted clinical decision.”
02
How it works
One continuous path from visualization to targeted decision.
Smart Cholangio® supports the D-SOC workflow while keeping sampling strategy and final interpretation in expert hands.
D-SOC acquisition
Live or previously acquired digital single-operator cholangioscopy enters the analysis workflow.
Stricture localization
The AI identifies the biliary stricture and follows the region of interest across frames.
Pattern analysis
Surface, vascular and structural patterns are assessed within the selected area.
Risk differentiation
The finding is differentiated as benign or malignant to support risk evaluation.
Targeted decision
Bounding boxes guide sampling while the clinician confirms the final interpretation.
AI capabilities
Designed for decisive biliary‑stricture assessment.
>98%
Diagnostic accuracy presented by DigestAID
Biliary-stricture detection
Automatically identifies indeterminate biliary strictures during digital cholangioscopy.
Benign–malignant differentiation
Assists malignancy-risk evaluation by differentiating benign and malignant findings.
Real-time and retrospective analysis
Works during live D-SOC and with previously acquired cholangioscopy examinations.
Sampling-target guidance
Places bounding boxes around relevant tissue to support targeted sampling.
Structured AI reporting
Organizes AI-assisted findings into a standardized diagnostic report for clinical review.
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Scientific validation
Validated across continents and clinical settings.
Clinical Validation of AI‑Assisted Evaluation of Indeterminate Biliary Strictures in Digital‑Single Operator Cholangioscopy: A Transcontinental Multicentric Study
Mascarenhas M, et al. · Clinical and Translational Gastroenterology · 2026
Read publication ↗Clinical benefits
Earlier clarity. Better‑targeted intervention.
01
Earlier and more accurate diagnosis of biliary strictures
↗02
Fewer unnecessary procedures through more focused decision-making
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Target selection for tissue sampling with bounding-box guidance
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Real-time and post-procedural analysis in one workflow
↗05
Standardized AI-driven diagnostic reporting
↗Smart Cholangio®
See the stricture. Clarify the pathway.
Talk to our team ↗This technology is part of DigestAID's research and development pipeline. Availability and regulatory status may vary by market.