The detection rate of colorectal polyps with an artificial intelligence algorithm in the dynamic analysis using video clips

The detection rate of colorectal polyps with an artificial intelligence algorithm in the dynamic analysis using video clips - The detection rate of colorectal polyps with an artificial intelligence algorithm in the dynamic analysis using video clips

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000039853

Enrollment

Registered

2020-03-17

Start date

2018-09-13

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

Patients underwent endoscopic resection for colorectal lesions between June 2017 and February 2018 at the Jikei university hospital.

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients underwent endoscopic resection for colorectal lesions between June 2017 and February 2018 at the Jikei university hospital.

Exclusion criteria

Exclusion criteria: We excluded the cases from analysis that did not record intubation or withdrawal of a scope and stored for CAD system training.

Design outcomes

Primary

Measure	Time frame
Outcomes of study were diagnostic performances.	—

Secondary

Measure	Time frame
Outcome of study was the median time delay of lesion detection by CAD and the success rate of lesion localization .	—

Countries

Japan

Contacts

Public ContactHiroaki Matsui

The Jikei University School of Medicine Department of Endoscopy

hiro24tht80@yahoo.co.jp03-3433-1111

Outcome results