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 |
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Health condition(s) or Problem(s) studied | Ulcerative colitis |
Date of first enrollment | 2022/05/16 |
Target sample size | 100 |
Countries of recruitment | Japan |
Study type | Interventional |
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 Outcome | The difference in acquisition rate of evaluation-inappropriate images with and without the use of EB-UC2 |
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Secondary Outcome | The difference in diagnostic concordance rates of acquired images with and without the use of EB-UC2 |
Key inclusion & exclusion criteria
Age minimum | 15years-old |
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Age maximum | Not applicable |
Gender | Male and Female |
Include criteria | |
Exclude criteria | Images of neoplastic lesions. Images of the small intestinal mucosa |
Related Information
Primary Sponsor | Showa University Northern Yokohama Hospital |
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Secondary Sponsor | |
Source(s) of Monetary Support | Japan Society for the Promotion of Science |
Contact
public contact | |
Name | Yasuharu Maeda |
Address | 35-1 Chigasakichuo Tuduki-ku Yokohama Japan 224-8503 |
Telephone | 0459497000 |
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 |
yasuharumaeda610@hotmail.com | |
Affiliation | Showa University Northern Yokohama Hospital Digestive Disease Center |