AI-Based Tool Identifies Patients at High Risk of Having Colorectal Cancer -

Medial EarlySign, a leader in machine-learning (ML) based solutions to improve disease management, has shown successful results for the live, physician-supported implementation of its solution for aiding in earlier colorectal cancer detection, in new research published by the Journal of Oncology CCI. According to a recent study, the solution examined medical records of 79,000 adult Maccabi members who had not been compliant with colorectal cancer (CRC). From these, 688 men and women were identified as higher risk for CRC and recommended for further evaluation. Doctors of flagged individuals were notified and asked to follow up with their patients. Of these, 254 had colonoscopies performed by Maccabi physicians, and 19 colorectal cancers were found, as well as 22 with advanced adenomas (high-risk precancerous lesions).