Comparison of the ability of artifical intelligence-based computer-aided detection (CAD) systems and endoscopists to detect colorectal neoplastic lesions.

Comparison of the ability of Artifical intelligence-based computer-aided detection (CAD) systems and endoscopists to detect colorectal neoplastic lesions. - Comparison of the ability of CAD systems and endoscopists to detect colorectal neoplastic lesions.

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000051237

Enrollment

Registered

2023-06-02

Start date

2023-06-01

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

colorectal polyp

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: All cases of colonoscopy performed from June 1st 2022 to July 31th 2022 by the study coordinator at Tokyo Women's Medical University hospital in which two types of videos were recorded simultaneously, one using the CAD function and the other not using it. Endoscopists who view the videos will be selected from endoscopists who work in the Institute of Gastroenterology, or the Department of Digestive Endoscopy at Tokyo Women's Medical University Hospital and who perform colonoscopies on a daily basis. 3 experts who have performed more than 5000 colonoscopies and 3 beginners who have performed less than 500 colonoscopies will be selected.

Exclusion criteria

Exclusion criteria: Cases with poor preparation Cases in which CAD indicated more than 5 colorectal polyps of 10 mm or less Cases in which endoscopic procedures were performed including biopsy Cases in which no neoplastic lesions were detected Inflammatory bowel disease and polyposis Cases with an examination time of 20 minutes or longer

Design outcomes

Primary

Measure	Time frame
Superiority of time taken by the endoscopist to detect colorectal neoplastic polyps versus by the CAD to detect colorectal neoplastic polyps (number of wins/losses)	—

Countries

Japan

Contacts

Public ContactYoshitsugu Misumi

Tokyo Women's Medical University Hospital Department of Digestive Endoscopy

yoshikft34@gmail.com+81333538111

Outcome results