Tokyo, April 1 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000058862) titled 'Evaluation of the Accuracy of AI-generated Colonoscopy Reports' on April 1.

Study Type: Observational

Primary Sponsor: Institute - Showa University Northern Yokohama Hospital, Digestive Disease Center

Condition: Condition - Colorectal neoplastic lesions, non-neoplastic colorectal lesions, colorectal cancer, adenoma, hyperplastic polyp, sessile serrated lesion (SSL), inflammatory bowel disease, normal colonic mucosa Classification by malignancy - Malignancy Genomic information - NO

Objective: Narrative objectives1 - To evaluate the diagnostic performance and validity of AI-generated colonoscopy reports, and to clarify their usefulness for diagnostic support and report standardization. Basic objectives2 - Efficacy

Eligibility: Age-lower limit - 18 years-old =18 years 3. Cases with available endoscopic images, reports, and pathological results 4. Patients who did not opt out of the use of their images for AI research Key exclusion criteria - 1. Cases in which no images were recorded during colonoscopy 2. Patients who opted out of the use of their images for AI research Target Size - 10000

Recruitment Status: Recruitment status - Preinitiation Date of protocol fixation - 2026 Year 04 Month 01 Day Anticipated trial start date - 2026 Year 04 Month 01 Day Last follow-up date - 2030 Year 03 Month 31 Day

To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000067250

Disclaimer: Curated by HT Syndication.