Performance evaluation of Computer-Aided polyp Detection system with artificial intelligence (AI) for colonoscopy

A multicenter study for colorectal polyp detection performance of Computer-Aided-Detection (CADe) system for endoscopy - Performance evaluation of endoscopy CADe system

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000044622

Enrollment

440

Registered

2021-06-22

Start date

2019-12-19

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 lesion type 0 in the classification of gross appearance.

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients who undergo total colonoscopy at the institutions during the study period.

Exclusion criteria

Exclusion criteria: Patients who: - have been diagnosed with inflammatory bowel disease; - have been diagnosed with polyposis coli; - do not agree to participate in this study; - are under the age of 20; - undergo colonoscopy as treatment; - underwent total proctocolectomy in the past; - are participating in other clinical studies or trials that might have direct or indirect effects on results from this study; - cannot observe instructions of this study and colonoscopy and; - are judged to be inappropriate as a subject of this study by the principal investigator, for other reasons.

Design outcomes

Primary

Measure	Time frame
Sensitivity for detecting the colorectal lesion of the CADe system.	—

Countries

Japan

Contacts

Public ContactAkiko Chino

Cancer Institute Hospital, Japanese Foundation for Cancer Research Digestive of Gastroenterology

akiko.chino@jfcr.or.jp03-3520-0111

Outcome results