Validation of data for evaluation of Computer Aided Program on gastric lesion detection for endoscopes using artificial intelligence

Validation study of data for evaluation of Endoscopy CAD Program on gastric lesion detection - Validation of data for evaluation of Endoscopy CAD Program

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000051744

Enrollment

115

Registered

2023-07-29

Start date

2023-08-10

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

Localized gastric lesions

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients who: - are over the age of 20 - with early stage gastric cancer - consent to secondary use

Exclusion criteria

Exclusion criteria: Patients who are under the age of 20

Design outcomes

Primary

Measure	Time frame
For the moving image of upper gastrointestinal endoscopy, confirmation of appropriateness of Endoscopy CAD Program on gastric lesion detection as a moving image for performance evaluation	—

Countries

Japan

Contacts

Public ContactShiho Miyauchi

OLYMPUS Medical Systems Corp. Safety and Efficacy Management

shiho.miyauchi@olympus.com042-642-2111

Outcome results