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Early detection of gastric cancer by AI diagnosis of endoscope

Verification and Effect of Gastric Cancer Diagnosis by Endoscopic AI Diagnosis - AI diagnosis of early gastric cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-UMIN000054533
Enrollment
1000
Registered
2024-06-01
Start date
2024-06-01
Completion date
Unknown
Last updated
2026-06-29

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

Conditions

Early gastric cancer

Interventions

Upper endoscopy is performed, and in the endoscopy group with AI, biopsy is performed when the examiner or AI, or both recognize the lesion to evaluate the lesion. The duration of the intervention is

Sponsors

Matsuyama Red Cross Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: All patients who have not been diagnosed with stomach cancer

Exclusion criteria

Exclusion criteria: Patients who have already been diagnosed with stomach cancer.

Design outcomes

Primary

MeasureTime frame
Gastric Cancer Discovery Rate

Secondary

MeasureTime frame
Differences in Gastric Cancer Detection Rates Between Endoscopists and Nonspecialists Difference in detection rate depending on the nature of the lesion

Countries

Japan

Contacts

Public ContactShimpei Shirai

Matsuyama Red Cross Hospital Gastroenterology

shimpei_shirai85@outlook.com089-924-1111

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026