Research on development of artificial intelligence (AI) for detection and classification of upper gastrointestinal cancers in endoscopic images

Research on development of artificial intelligence (AI) for detection and classification of upper gastrointestinal cancers in endoscopic images - Research on development of artificial intelligence (AI) for detection and classification of upper gastrointestinal cancers in endoscopic images

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000039597

Enrollment

200

Registered

2020-04-01

Start date

2020-03-01

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

upper gastrointestinal cancers

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1)Patients undergoing endoscopy to inspect lesions suspicious for upper gastrointestinal cancers 2)Patients aged 20 years or older at the time of enrollment 3)Patients who have provided written informed consent to participate in this study

Exclusion criteria

Exclusion criteria: 1)Patients after upper gastrointestinal surgery 2)Patients investigator judged unsuitable as the research subject

Design outcomes

Primary

Measure	Time frame
An accuracy of an AI system for detection of upper gastrointestinal cancers in endoscopic images	—

Secondary

Measure	Time frame
An accuracy of an AI system for classification of upper gastrointestinal cancers in endoscopic images	—

Countries

Japan

Contacts

Public ContactKeiko Hirai

Nagoya University Graduate School of Medicine Department of Gastroenterology & Hepatology

hiraik53@med.nagoya-u.ac.jp052-744-2172

Outcome results