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Study identifier: NCT06041945 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

Artificial Intelligence to Implement Cost-saving Strategies for Colonoscopy Screening Based on in Vivo Prediction of Polyp Histology

Condition: Colonic Neoplasms  ·  Sponsor: Istituto Clinico Humanitas

PhaseNA
Planned participants1800
Who can joinAll sexes, 40 Years to no upper limit
Healthy volunteersYes

About this study

This three parallel-arms, randomized, multicenter trial is aimed at investigating the value of AI-assisted optical biopsy for differentiating between neoplastic and non-neoplastic polyps which will lead to the implementation of cost-saving strategies in screening programs. A cost-effectiveness analyses with the use of modern trial emulation analyses of large observational and clinical trial datasets and real-cost data will be conducted. To improve personalized treatment with a novel colonoscopy CADx risk-prediction tool, the investigators will even develop a novel deep learning algorithm for the optical biopsy of the alternative pathway of colorectal cancer carcinogenesis, namely the serrated pathway and develop cost-effectiveness models of AI-assisted optical biopsy in colorectal cancer screening that provides reliable information to identify cancer risk regardless of physicians' skill.

This description comes directly from the study's public registry record.

Talk to the study team

Cesare Hassan  ·  02-82247385  ·  cesare.hassan@hunimed.eu

Always discuss trial participation with your own doctor first.

Locations (2)

Istituto Clinico HumanitasRozzano, Milano, ItalyRecruiting
Istituto Clinico HumanitasRozzano, Milano, ItalyRecruiting

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Source record: clinicaltrials.gov/study/NCT06041945