Development of an Artificial Intelligence Based Diagnostic Support System for Endoscopic Remission in Ulcerative Colitis

Development of an Artificial Intelligence Based Diagnostic Support System for Endoscopic Remission in Ulcerative Colitis - AI system for ulcerative colitis

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000060537

Enrollment

1300

Registered

2026-01-31

Start date

2021-06-01

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

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients aged 20 years or older with a confirmed diagnosis of ulcerative colitis who undergo colonoscopy as part of routine clinical practice.

Exclusion criteria

Exclusion criteria: Patients who refuse to participate in this study

Design outcomes

Primary

Measure	Time frame
Accuracy, sensitivity, and specificity of the diagnostic support software for endoscopic remission (Mayo endoscopic subscore 1 or less) and complete endoscopic remission (Mayo endoscopic subscore 0) compared with expert endoscopist assessments.	—

Countries

Japan

Contacts

Public ContactYasuharu Maeda

Showa Medical University Northern Yokohama Hospital Digestive Disease Center

yasuharu@med.showa-u.ac.jp0459497000

Outcome results