Insights into a machine learning-based prediction model for colorectal polyp recurrence after endoscopic mucosal
1Department of General Surgery, The Second People's Hospital of Wuhu, Wuhu 241000, Anhui Province, China.
World Journal of Gastroenterology
|September 3, 2025
Summary
Researchers developed a machine learning model to predict colorectal polyp recurrence after endoscopic resection. While accurate, the model needs further validation for broader clinical use.
Area of Science:
- Gastroenterology
- Artificial Intelligence
- Medical Informatics
Background:
- Colorectal polyps pose a risk of recurrence after endoscopic mucosal resection (EMR).
- Predictive models can aid in post-procedural management and surveillance strategies.
Keywords:
Clinical implementationColorectal polyp recurrenceEndoscopic mucosal resectionExternal validationMachine learningRisk prediction
