aceImproving Postpolypectomy Surveillance Decisions Using an Automated Analysis of Colonoscopy and Histopathology Reports: 2-Center Validation Study
Background: Postpolypectomy surveillance intervals derived from colonoscopy findings and histopathology should be guideline-based, yet these are frequently not adhered to, contributing to under- and oversurveillance. This motivates a more structured and automated approach to improve adherence. Objective: We developed and evaluated an automated, implementable, guideline-aligned decision support tool that extracts colorectal polyp features from free-text colonoscopy and histopathology reports and produces auditabl…
A hybrid pipeline of open-weight language models and a deterministic guideline rule engine reached 0.93 to 0.96 recommendation accuracy across two NHS trusts and would mainly reduce potential undersurveillance.
The evaluation was retrospective and used small cohorts of 100 patients per site, and the authors describe only the potential to improve safety netting and adherence, not a demonstrated clinical effect.
Evidence
- Peer-reviewedJournal of Medical Internet Research2026-10-16
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Truvace Impact Record TRV-2026-1640, v1: “Improving Postpolypectomy Surveillance Decisions Using an Automated Analysis of Colonoscopy and Histopathology Reports: 2-Center Validation Study.” Truvace, 2026-10-17. /record/TRV-2026-1640 (accessed at citation time). sha256 86dfe5be2f287ba7…
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