External, Multicentre Validation of a Machine-Learning Model to Predict Colonic Adenoma in Indian Adults

Colorectal adenomas are precursors to colorectal cancer (CRC). Accurate pre-procedure risk stratification could optimize colonoscopy yield and resource allocation in India, where adenoma prevalence varies by age, sex, and lifestyle/metabolic factors. ML models can integrate multiple predictors to estimate individualized risk. Existing risk scores are largely Western; performance and calibration may not be appropriate in Indian populations with different socio-demographic and metabolic profiles. External, prospective, multicentre validation is essential before clinical implementation.

NCT Number	NCT07329816
Lead Sponsor	Asian Institute of Gastroenterology, India
Conditions	Colonoscopy
Enrollment	1,000 participants
Start Date	2026-02-01
Primary Completion	2027-03-30 (estimated)
Study Completion	2027-03-30 (estimated)
Updated on ClinicalTrials.gov	2026-01-12