Colorectal polyp

Disease2 papers1 finding

Humans2

Associations

1

Machine-learning

upin silico1

1 study

machine-learning predicts colorectal polyp in silico (AUC 0.672).
In silicopopulation-based screeningn = 4,108
Development of an Interpretable Triage Tool for Colorectal Polyp Risk Stratification Within a Population-Based Screening Program: Machine Learning Approach · JMIR medical informatics · 30 Sep 2026

Latest

2

JMIR Medical InformaticsHumans1 Oct

Development of an Interpretable Triage Tool for Colorectal Polyp Risk Stratification Within a Population-Based Screening Program: Machine Learning Approach

Frontiers in OncologyHumans30 Sep

Age-stratified prevalence of colorectal adenoma and advanced neoplasia in adults aged 18-39 years: a single-center cross-sectional study of 2, 149 colonoscopies