Machine Learning Model Combines FIT with Clinical Data to Triage Fast-Track Colonoscopy Referrals

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Swedish researchers developed and externally validated risk models combining faecal immunochemical test results with age, sex, symptoms, and imaging to prioritize 2,539 fast-track colonoscopies, aiming to improve endoscopy capacity. (BMC Med Inform Decis Mak)