Performance evaluation of computer-Aided gastric lesion detection program with artificial intelligence (AI) for endoscopy

A multicenter study for gastric lesion detection performance of Computer-Aided-Detection (CADe) program for endoscopy - Performance evaluation of endoscopy CADe program

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000046599

Enrollment

267

Registered

2022-01-24

Start date

2023-01-31

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 undergo upper gastrointestinal endoscopy at the institutions during the study period.

Exclusion criteria

Exclusion criteria: Patients who: - underwent total gastrectomy; - are under the age of 20; - do not agree to participate in this study; - cannot follow instructions of this study and endoscopy and; - are judged to be inappropriate as a subject of this study by the investigator, for other reasons.

Design outcomes

Primary

Measure	Time frame
Sensitivity of the CADe program for detecting the gastric lesions	—

Secondary

Measure	Time frame
Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for the total frames of gastric lesions to be analyzed	—

Countries

Japan

Contacts

Public ContactKenshi Yao

Fukuoka University Chikushi Hospital Department of Endoscopy

yao@fukuoka-u.ac.jp092-921-1011

Outcome results