Laparoscopic colorectal surgery · AI decision support
See risk earlier. Support the surgical decision.
Leak Sight® is an AI-based intraoperative decision-support tool for the prediction of colorectal anastomotic leakage during laparoscopic colorectal surgery.
01 · Intended use
AI‑assisted prediction of colorectal anastomotic leakage.
Leak Sight® supports intraoperative decision-making by analyzing laparoscopic images of the colorectal anastomosis for visual patterns associated with possible leakage.
The technology provides post-procedural analysis and generates standardized AI-driven diagnostic reports for clinical review.
The clinical challenge
Anastomotic leakage can be difficult to predict during surgery.
Visual assessment and clinical factors may not reveal every risk pattern. Delayed recognition can lead to serious postoperative complications and additional intervention.
“The opportunity is to identify relevant image patterns before complications become clinically evident.”
How it works
From laparoscopic image to structured risk output.
Leak Sight® turns acquired surgical imagery into explainable AI-assisted assessment while preserving clinical judgment.
Laparoscopic image capture
Frames documenting the colorectal anastomosis are acquired during laparoscopic surgery.
Image preparation
Relevant anastomosis views are selected for AI-assisted post-procedural analysis.
Anastomosis assessment
The model evaluates visual patterns associated with normal anastomosis or possible leakage.
Risk prediction
A leakage prediction and visual heatmap focus attention on the image regions influencing the result.
Standardized report
AI-driven findings are organized into a consistent report for surgical-team review.
AI capabilities
Purpose‑built for colorectal anastomosis assessment.
Diagnostic accuracy presented for Leak Sight®
Anastomosis image analysis
Analyzes laparoscopic views of the colorectal anastomosis using a deep-learning model.
Leakage-risk prediction
Supports identification of image patterns associated with possible colorectal anastomotic leakage.
Visual attention mapping
Highlights image regions contributing to the model prediction through an explainable heatmap.
Post-procedural review
Processes acquired surgical images after the procedure for structured assessment.
Standardized AI reporting
Generates consistent AI-driven diagnostic output for clinical validation.
Scientific validation
Pioneer multicenter transatlantic evidence.
A Novel Deep Learning Model for Predicting Colorectal Anastomotic Leakage: A Pioneer Multicenter Transatlantic Study
Journal of Clinical Medicine · 2025 · 5,356 laparoscopic frames
Read publication ↗Clinical benefits
Earlier risk insight. More informed decisions.
Earlier and more accurate detection of possible leakage
↗More informed colorectal surgical decision support
↗Post-procedural analysis of acquired laparoscopic images
↗Standardized AI-driven diagnostic reporting
↗Fewer unnecessary procedures and greater workflow efficiency
↗Leak Sight®
Bring explainable AI into colorectal risk assessment.
Talk to our team ↗This technology is part of DigestAID's research and development pipeline. Availability and regulatory status may vary by market.