Impact of real-time artificial intelligence system on colorectal adenoma miss rates among colonoscopy trainees

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

CRIS

Registry ID

KCT0007667

Enrollment

104

Registered

2022-09-02

Start date

2022-08-29

Completion date

Unknown

Last updated

2022-10-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Medical Device : - Computer-aided polyp detection system (Smart Endo, INFINITT Healthcare) will be used during routine colonoscopy. - Colonoscopy trainee first examines bowel (cecum to rectum) with or

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Adult patients who are undergoing colonoscopy for routine indications Patients who consented to the study

Exclusion criteria

Exclusion criteria: Prior bowel resection Inadequate bowel preparation Inflammatory bowel disease Advanced colorectal cancer Polyposis syndrome Unable to resect colon polyps Failure of cecal intubation Pregnancy/lactation Patients who did not consent to the study

Design outcomes

Primary

Measure	Time frame
adenoma miss rate	—

Secondary

Measure	Time frame
Polyp miss rate, serrated lesion miss rate, polyp/adenoma/serrated lesion detection rates	—

Countries

Korea, Republic of

Contacts

Public ContactHyun Joo Jang

Hallym University Medical Center-Dongtan

jhj1229pr@gmail.com+82-31-8086-2450

Outcome results