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Application of artificial intelligence based on deep learning in quality control system of endoscopy

Application of artificial intelligence based on deep learning in quality control system of endoscopy

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000030443
Enrollment
Unknown
Registered
2020-03-02
Start date
2020-04-01
Completion date
Unknown
Last updated
2020-03-02

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

Conditions

Patients undergoing endoscopy

Interventions

2:Quality control system monitoring
1:N

Sponsors

Zhongshan Hospital of Fudan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: Patients aged 18-80 years who were assessed to be able to tolerate routine gastroenteroscopy

Exclusion criteria

Exclusion criteria: 1. Emergency gastroenteroscopy; 2. Pregnant women and those with severe mental illness who cannot cooperate with gastroenteroscopy; 3. Severe emphysema, interstitial pneumonia or ischemic heart disease that cannot tolerate anesthesia and examination; 4. The conditions and objectives of the study were not understood by patients or family members.

Design outcomes

Primary

MeasureTime frame
Acceptance rate of endoscopy;Intestinal readiness score;—

Secondary

MeasureTime frame
Average number of detectedpolyps;The seniority of the doctor;inspection time;—

Countries

China

Contacts

Public ContactZhong Yunshi

Endoscopy center, Zhongshan Hospital of Fudan University

zhongamy2002@163.com+86 13564623481

Outcome results

None listed

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