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.