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AI system to predict colorectal surgery leak risk proposed

Researchers have proposed an AI-driven system to predict the risk of colorectal anastomotic leaks using CT scans. This protocol paper outlines a framework for developing a tool that analyzes vascular and tissue features to quantify leak likelihood. The system also includes a module for retrieving similar historical cases to aid surgical decision-making, aiming to improve surgical planning and reduce leak incidence. AI

IMPACT This AI framework could enhance surgical planning and reduce complication rates in colorectal surgery.

RANK_REASON This is a protocol paper outlining a framework for developing an AI system, not a released product or a completed research study with results.

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Zahra Tabatabaei, Jon Sporring, Mark Bremholm Elleb{\ae}k, Alaa El-Hussuna ·

    Predicting the risk of colorectal anastomotic leak based on preoperative mapping of the blood supply of the bowel

    arXiv:2606.02156v1 Announce Type: cross Abstract: Anastomotic leak remains one of the most serious complications following colorectal cancer surgery, substantially affecting patient outcomes, recovery trajectories, and healthcare costs. Despite advances in imaging technology, cur…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Alaa El-Hussuna ·

    Predicting the risk of colorectal anastomotic leak based on preoperative mapping of the blood supply of the bowel

    Anastomotic leak remains one of the most serious complications following colorectal cancer surgery, substantially affecting patient outcomes, recovery trajectories, and healthcare costs. Despite advances in imaging technology, current preoperative assessment relies only on clinic…