Using AI-assisted Optical Polyp Diagnosis for Diminutive Colorectal Polyps

Launched by DANIEL VON RENTELN · Sep 22, 2023

Keywords

ClinConnect Summary

This clinical trial is exploring how well an artificial intelligence (AI) system can help doctors identify and diagnose issues during colonoscopy procedures. The study specifically looks at two strategies for managing findings during these procedures: "resect and discard," where a growth is removed and not sent for further testing if it appears harmless, and "diagnose and leave," where an abnormality is identified and monitored without immediate removal. The goal is to see how closely the AI's assessments match those of two experienced doctors, ensuring that patients receive the right follow-up care based on established guidelines.

To be eligible for the trial, participants should be between 45 and 80 years old and scheduled for an outpatient colonoscopy at the Centre Hospitalier de l'Université de Montréal (CHUM). They must also agree to participate by signing a consent form. However, individuals with certain conditions, such as inflammatory bowel disease or blood clotting disorders, cannot participate. If you join the study, you'll help researchers understand how AI can improve the diagnosis process and potentially lead to better patient care during colonoscopy exams.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Age 45-80 years
• • Undergoing an outpatient colonoscopy at the Centre Hospitalier de l'Université de Montréal (CHUM)
• • Signed informed consent form
• Exclusion Criteria:
• • Inflammatory Bowel Disease;
• • Active colitis;
• • Hereditary CRC syndrome;
• • Coagulopathy;
• • American Society of Anesthesiologists (ASA) status \>3