Establishment and validation of a colonoscopy operation quality evaluation system based on deep learning

Establishment and validation of a colonoscopy operation quality evaluation system based on deep learning: a multicenter, bidirectional cohort observational clinical study

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2400083044

Enrollment

Unknown

Registered

2024-04-15

Start date

2023-07-01

Completion date

Unknown

Last updated

2024-04-22

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

Conditions

colonic adenoma

Interventions

Low qualified withdrawal time group:none

High qualified withdrawal time group:none

Eligibility

Sex/Gender

All

Age

18 Years to 75 Years

Inclusion criteria

Inclusion criteria: Age 18 and above, regardless of gender; Agree to participate in this study.

Exclusion criteria

Exclusion criteria: Missing important baseline data, endoscopic images, and video materials; Patients with a history of colorectal surgery (resection of malignant tumors, resection of colorectal perforation, etc.); Patients with inflammatory bowel disease or colon melanosis; Patients undergoing emergency colonoscopy examination; Patients with contraindications for colonoscopy examination; Researchers believe that it is not suitable to include system modelers.

Design outcomes

Primary

Measure	Time frame
Area under the receiver operating characteristic curve;Accuracy;Adenoma detection rate;	—

Countries

China

Contacts

Public ContactLei Wang

Nanjing Drum Tower Hospital

leiwang9631@nju.edu.cn+86 138 5157 9216

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026