Can AI predict the prognosis of ulcerative colitis?

Disease Activity in Patients with Ulcerative Colitis (UC) Using Ultra-Magnification Endoscopic Artificial Intelligence (AI)-Assisted Diagnosis - Disease activity evaluation of UC using AI

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000049858

Enrollment

Registered

2023-02-21

Start date

2023-03-01

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 with Ulcerative Colitis (UC) attending the Institute of Gastroenterology, Tokyo Women's Medical University, who will undergo colonoscopy Patients with Mayo Endoscopic Score (MES) 0 or 1 by colonoscopy

Exclusion criteria

Exclusion criteria: Patients with clinical activity requiring therapeutic intervention at the time of examination (partial Mayo score (PMS) over 2 and rectal bleeding subscore over 1) Patients deemed ineligible for the study by the principal investigator

Design outcomes

Primary

Measure	Time frame
Two-Year Relapse Rates with Ultra Magnified Endoscopy AI-Assisted Diagnosis in Patients with MES1	—

Secondary

Measure	Time frame
Discrimination of Pathological Scores by AI-Assisted Diagnosis in MES1	—

Countries

Japan

Contacts

Public ContactTeppei Omori

Tokyo Women`s Medical University Institute of Gastroenterology

omori.teppei@twmu.ac.jp+81-3353-8111

Outcome results