emjreviews.com
Cure8 news brief
AI Model Predicts Stoma Risk After Crohn’s Disease Surgery
Research and clinical trials
AI and data science
Ostomy
Bowel Resection
Clinical study
Clinicians
Researchers
Post Surgery Patients
Why This Matters
A predictive model for temporary stoma could influence surgical planning for people with Crohn’s disease, helping tailor decisions and expectations around intestinal resection.
Who Should Pay Attention
Surgeons and clinicians who perform intestinal resections, researchers working on surgical risk prediction or AI tools, and patients facing Crohn’s surgery who want information about factors that influence stoma formation.
Study Snapshot
Story typeResearch news
Evidence typeClinical study
Source depthFull source text
What To Know
This news item reports on a published study that developed machine-learning models to predict the need for a temporary stoma after intestinal resection for Crohn’s disease. Researchers analysed a cohort of 252 patients who had intestinal resection; about 150 required a temporary stoma.
Several algorithms (logistic regression, random forest, XG-Boost) were tested and the random forest model performed best in the training set and moderately in validation. The study used SHAP to rank predictor importance.
Keep In Mind
Early-stage predictive models often require external validation across other hospitals and populations before being used to change clinical practice. The news summarizes a cohort study using machine learning and SHAP explanations; it does not report prospective testing of the tool in routine care.
Source Details
Review the original publication for the complete reporting, methods, and context.
Publicationemjreviews.com
Indexed viaBing News
Source typeResearch news
PublishedFeb 26, 2025, 2:00 AM
Content availableFull source text
This Cure8 brief is based on source text from the linked article. Cure8 is informational only and is not a substitute for professional medical advice, diagnosis, or treatment.
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