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A study for evaluating the ability of AI assistant diagnosing esophageal various and early gastric cancer in different mucosa

A study for evaluating the ability of AI assistant diagnosing esophageal various and early gastric cancer in different mucosa

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1900023970
Enrollment
Unknown
Registered
2019-06-20
Start date
2019-06-25
Completion date
Unknown
Last updated
2019-06-26

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

Conditions

esophageal various,gastritis and early gastric cancer

Interventions

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

Sponsors

Renmin Hospital of Wuhan University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) Doctors engaged in endoscopic related work; 2) Being able to participate in the evaluation on time; 3) Ability to read, understand and sign informed consent;

Exclusion criteria

Exclusion criteria: No

Design outcomes

Primary

MeasureTime frame
The ability to diagnose esophageal various;The ability of EGD Detection;SEN, SPE, ACC, AUC of ROC;Kappa value;—

Secondary

MeasureTime frame
diagnosis time;—

Countries

China

Contacts

Public ContactChen Mingkai

Department of Gastroenterology, Renmin Hospital of Wuhan University

kaimingchen@163.com+86 13720330580

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 26, 2026