Subscribe free

Digital Surgery and Telemedicine ·

Machine Learning Model for Prediction of Permanent Stoma after Anterior Resection of Rectal Cancer

Retrospective study develops a machine learning model to predict permanent stoma formation post rectal cancer surgery. Utilizing support vector machine algorithm, the model shows high accuracy (AUC: 0.854) in training, testing, and external validation sets, aiding in preoperative patient stratification and personalized treatment plans. Results offer a practical tool for clinicians to enhance patient outcomes and quality of life.

Journal Article by Su Y, Li Y (…) Liu L et 4 al. in Eur J Surg Oncol

© 2024 Elsevier Ltd, BASO ∼ The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.

read the whole article in Eur J Surg Oncol

open it in PubMed

Summaries are written to help you decide what to read. They do not replace the full paper.

Free · 5 minutes a day

Get every new paper in Digital Surgery and Telemedicine.

Plus the Daily Selection: the five most relevant papers of the day, each cut to its key points.

Specialty newsletters: every new paper in your field, as a list of titles linked to the source. Daily Selection: the five that matter, cut to their key points.

FreeNo spamOne-click unsubscribe

More in Digital Surgery and Telemedicine

The latest stitches

Digital Surgery and Telemedicine20 Oct 2026

AI Segments Abdominal Wall Layers During Trocar Entry

In a 10-procedure pilot, deep learning identified abdominal wall layers in optical trocar-entry video with promising accuracy—but this is not yet evidence of safer access.

All papers in Digital Surgery and Telemedicine →