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A real-time assisted system during ERCP based on deep learning

A real-time assisted system during ERCP based on deep learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1900025343
Enrollment
Unknown
Registered
2019-08-24
Start date
2019-09-05
Completion date
Unknown
Last updated
2019-08-27

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

Conditions

common bile duct stone

Interventions

Gold Standard:experts group judgement
Index test:AI-assisted prompts

Sponsors

Renmin Hospital of Wuhan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: digestive endoscopy doctors who agreed to participate in this study and signed the informed consent

Exclusion criteria

Exclusion criteria: 1) refuse to participate in the experiment; 2) failure to give informed consent; 3) the researcher believes that the subjects have other circumstances or other special conditions that are inappropriate for them to participate in the clinical trial.

Design outcomes

Primary

MeasureTime frame
accurately that doctors detect lesions;—

Countries

China

Contacts

Public ContactYu Honggang

Department of Gastroenterology, Renmin Hospital of Wuhan University

yuhonggang@163.com+86 13871281899

Outcome results

None listed

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