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Canceled by the investigator. Development of an automatic measurement system for size of esophageal lesions under endoscopy based on artificial intelligence

Development of an automatic measurement system for size of esophageal lesions under endoscopy based on artificial intelligence

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300075096
Enrollment
Unknown
Registered
2023-08-24
Start date
2023-08-24
Completion date
Unknown
Last updated
2023-11-27

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

Conditions

esophageal varices

Interventions

Gold Standard:Three senior endoscopists were selected to read the images, and the average results of the three endoscopists were used as the gold standard
Index test:AI (artificial intelligence) automatic measurement of two classifications of esophageal lesion size measurement

Sponsors

Xingtai People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: Patients aged 18-75 years with cirrhosis and esophageal varices who successfully completed gastroscopy with written informed consent

Exclusion criteria

Exclusion criteria: Do not consent to gastroscopy, or can not cooperate to complete the endoscopy, esophageal stenosis, unable to observe the esophagus and stomach.

Design outcomes

Primary

MeasureTime frame
Binary classification accuracy;—

Secondary

MeasureTime frame
absolute error;relative error;—

Countries

China

Contacts

Public ContactZhihui Duan

Xingtai People's Hospital

15131988129@163.con+86 151 3198 8129

Outcome results

None listed

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