Usefulness of AI in Gastric Biopsy Lesions

Usefulness of AI in Gastric Biopsy Lesions - Usefulness of AI in Gastric Biopsy Lesions

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000054770

Enrollment

200

Registered

2024-06-26

Start date

2024-06-13

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

gastric epithelial tumors

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients performed biopsy for gastric lesion by using the gastro AI-model G.

Exclusion criteria

Exclusion criteria: Lesions that have already been diagnosed as tumors through biopsy

Design outcomes

Primary

Measure	Time frame
Diagnostic accuracy of endoscopists and AI in cases of suspected gastric epithelial tumors undergoing biopsy	—

Secondary

Measure	Time frame
Diagnostic accuracy of gastric epithelial tumors by specialists and non-specialists Accuracy rate, sensitivity and specificity of AI in cases where endoscopists diagnosed a tumor and performed a biopsy, and cases where they diagnosed a non-tumor but performed a biopsy to confirm	—

Countries

Japan

Contacts

Public ContactYuriko Shigehisa

Japanese Red Cross Kochi Hospital Gastroenterology

yurikonoguchi630@gmail.com088-822-1201

Outcome results