Researchers in China developed an interpretable machine learning risk stratification tool using routinely collected data from 4,108 individuals aged 50–74 to serve as a digital triage mechanism for colorectal polyps in population-based screening programs. (JMIR Medical Informatics)
Machine Learning Tool Developed to Triage High-Risk Individuals for Colonoscopy
The CRC Digest