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Evaluation of assistive system of histological remission diagnosis of ulcerative colitis by magnified NBI image using artificial intelligence

Evaluation of assistive system of histological remission diagnosis of ulcerative colitis by magnified NBI image using artificial intelligence - Evaluation of diagnostic assistance system using enlarged NBI images

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000044952
Enrollment
100
Registered
2021-07-27
Start date
2021-07-27
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ulcerative colitis

Interventions

None listed

Sponsors

Showa University Northern Yokohama Hospital
Lead Sponsor
Showa University Northern Yokohama Hospital Digestive Disease Center
Collaborator

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients with a definite diagnosis of ulcerative colitis in advance Patients undergoing lower gastrointestinal endoscopy due to clinical need Patients who are 20 years of age or older at the time of consent acquisition Patients with no history of radiation therapy for the abdomen or pelvis

Exclusion criteria

Exclusion criteria: Patients who have been asked to refuse to participate in this study Patients who did not undergo histological diagnosis

Design outcomes

Primary

MeasureTime frame
Comparison of the percentage of histological inflammation by AI diagnostic output

Secondary

MeasureTime frame
Clinical relapse rate after 1 year by diagnosis of AI diagnostic output

Countries

Japan

Contacts

Public ContactYASUHARU MAEDA

Showa University Northern Yokohama Hospital Digestive Disease Center

yasuharumaeda610@hotmail.com+81459497000

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026