Tokyo, June 15 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000061816) titled 'Development of an Artificial Intelligence System for Automatic Recognition of Anatomical Sites During Esophagogastroduodenoscopy' on June 15.
Study Type:
Observational
Primary Sponsor:
Institute - SHOWA Medical University
Condition:
Condition - gastric cancer
Classification by malignancy - Malignancy
Genomic information - NO
Objective:
Narrative objectives1 - We will develop and validate an endoscopic AI system designed to ensure the comprehensiveness of imaging coverage during esophagogastroduodenoscopy (EGD). By providing physicians with feedback on imaging completeness, this AI is expected to reduce blind spots and decrease the rate of missed gastric cancers. We will evaluate the classification accuracy of the AI for standard anatomical imaging sites of the esophagus, stomach, and duodenum.
Basic objectives2 - Efficacy
Eligibility:
Age-lower limit - 18
years-old
<=
Age-upper limit - Not applicable
Gender - Male and Female
Key inclusion criteria - Patients 18 years of age or older who underwent EGD at Showa Medical University Northern Yokohama Hospital between January 1, 2020 and October 31, 2025, who did not opt out of the use of their AI-related information.
Key exclusion criteria - (1) Incomplete EGD; (2) limited visualization due to gastric residue; (3) history of esophageal, gastric, or duodenal surgery.
Target Size - 400
Recruitment Status:
Recruitment status - No longer recruiting
Date of protocol fixation - 2024 Year 07 Month 18 Day
Date of IRB - 2024 Year 10 Month 15 Day
Anticipated trial start date - 2024 Year 10 Month 15 Day
Last follow-up date - 2025 Year 10 Month 31 Day
To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000070699
Disclaimer: Curated by HT Syndication.
