Skip to content

Clinical Utility of Image-Enhanced Endoscopy in Artificial Intelligence-Assisted Endoscopic Diagnosis

Clinical Utility of Image-Enhanced Endoscopy in Artificial Intelligence-Assisted Endoscopic Diagnosis - Clinical Utility of Image-Enhanced Endoscopy in Artificial Intelligence-Assisted Endoscopic Diagnosis

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-UMIN000058136
Enrollment
36
Registered
2025-06-13
Start date
2025-06-16
Completion date
Unknown
Last updated
2026-09-14

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

Conditions

Early gastric neoplasm

Interventions

During the process of gastric observation, the first upper gastrointestinal endoscopy will be performed using AI-assisted white light imaging (WLI-AI group), followed by a second endoscopic examinatio

Sponsors

Kyushu Univesity
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients diagnosed with upper gastrointestinal tumors and scheduled to undergo upper gastrointestinal endoscopy and/or treatment under sedation Male or female patients aged 18 years or older Patients who have provided written informed consent

Exclusion criteria

Exclusion criteria: Patients with heart failure or unstable hemodynamics in whom sedation during the procedure is considered unsafe Patients for whom endoscopy is generally contraindicated (e.g., those with ileus, gastrointestinal perforation, severe respiratory disease, or severe cardiovascular disease) Patients deemed unsuitable for participation in this study due to serious comorbidities or other medical reasons

Design outcomes

Primary

MeasureTime frame
This study aims to assess whether LCI significantly reduces the number of false-positive detections while maintaining a tumor detection rate of over 95%.

Countries

Japan

Contacts

Public ContactMinoda Yosuke

Kyushu University Hospital Department of Medicine and Bioregulatory Science

minoda.yosuke.633@m.kyushu-u.ac.jp0926425286

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Sep 19, 2026