Veridation research of colonoscopy using artificial intelligence

Clinical performance of computer-aided detection of colorectal neoplasia using artificial intelligence - Clinical performance of computer-aided detection of colorectal neoplasia using artificial intelligence

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000047666

Enrollment

400

Registered

2022-05-06

Start date

2021-01-01

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

colo-rectal adenoma or cancer

Interventions

colonoscopy with/without AI (computer-aided detection) colonoscopy without AI (computer-aided detection)

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Colorectal cancer screening endoscopy, colonoscopy after fecal occult blood positive test, surveillance after colorectal polyp resection

Exclusion criteria

Exclusion criteria: After colorectal surgery

Design outcomes

Primary

Measure	Time frame
Adenoma detection rate in total colonoscopy	—

Secondary

Measure	Time frame
Adenoma miss rate in recto-sigmoid scopy	—

Countries

Japan

Contacts

Public ContactHirotaka Nakashima

Foundation for detection of early gastric carcinoma depatment of gastroenterology

nakashima@soiken.or.jp03-3668-6803

Outcome results

None listed

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