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Computer-aided detection for colonoscopy based on artificial intelligence

Computer-aided detection for colonoscopy based on artificial intelligence - Evaluation for CADe software

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000034987
Enrollment
70
Registered
2018-12-01
Start date
2018-08-01
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

Colorectal lesions

Interventions

None listed

Sponsors

Showa University Northern Yokohama Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1)Pts who were performed colonoscopy in Showa University Northern Yokohama Hospital. 2)Over 20 years old. 3)Pts with informed consent.

Exclusion criteria

Exclusion criteria: 1) Inflammatory bowel disease 2) Polyposis

Design outcomes

Primary

MeasureTime frame
The sensitivity of CADe(EB-00) for colorectal lesions.

Countries

Japan

Contacts

Public ContactMasashi Misawa

Showa University Northern Yokohama Hospital Digestive Disease Center

mmisawa@med.showa-u.ac.jp045-949-7265

Outcome results

None listed

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