NIPH Clinical Trials Search

JAPANESE
国立保健医療科学院
UMIN ID: UMIN000047775

Registered date:16/05/2022

Will AI improve the quality of acquired images for endoscopic remission assessment of UC?

Basic Information

Recruitment status Recruiting
Health condition(s) or Problem(s) studiedUlcerative colitis
Date of first enrollment2022/05/16
Target sample size100
Countries of recruitmentJapan
Study typeInterventional
Intervention(s)No use of AI system (EB-UC2) for endoscopic remission assessment of UC Use of the AI system (EB-UC2) for endoscopic remission assessment of UC

Outcome(s)

Primary OutcomeThe difference in acquisition rate of evaluation-inappropriate images with and without the use of EB-UC2
Secondary OutcomeThe difference in diagnostic concordance rates of acquired images with and without the use of EB-UC2

Key inclusion & exclusion criteria

Age minimum15years-old
Age maximumNot applicable
GenderMale and Female
Include criteria
Exclude criteriaImages of neoplastic lesions. Images of the small intestinal mucosa

Related Information

Contact

public contact
Name Yasuharu Maeda
Address 35-1 Chigasakichuo Tuduki-ku Yokohama Japan 224-8503
Telephone 0459497000
E-mail yasuharumaeda610@hotmail.com
Affiliation Showa University Northern Yokohama Hospital Digestive Disease Center
scientific contact
Name Yasuharu Maeda
Address 35-1 Chigasakichuo Tuduki-ku Yokohama Japan
Telephone 0459497000
E-mail yasuharumaeda610@hotmail.com
Affiliation Showa University Northern Yokohama Hospital Digestive Disease Center