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Efficacy of Endoscopic Screening with Artificial Intelligence for Gastric Tumors

Efficacy of Endoscopic Screening with Artificial Intelligence for Gastric Tumors - Efficacy of Endoscopic Screening with Artificial Intelligence for Gastric Tumors

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
JPRN
Registry ID
JPRN-UMIN000054466
Enrollment
36
Registered
2024-05-24
Start date
2024-05-23
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

Gastric tumor

Interventions

Intervention: Endoscopy with Artificial Intelligence system Control: Endoscopy with magnification function

Sponsors

kyushu university
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: The following criteria must be met for patients to be included: 1. Patients suspected of having upper gastrointestinal tumors and scheduled for an upper gastrointestinal endoscopy screening test under sedation. 2. Patients aged 18 and over. 3. Patients who have given written consent.

Exclusion criteria

Exclusion criteria: Patients will be excluded if they meet any of the following criteria: 1. Patients known to have had poor sedation during previous endoscopic examinations. 2. Patients with sleep apnea syndrome, heart failure, or unstable hemodynamics where sedation during the examination is deemed hazardous. 3. Patients for whom endoscopic examination is generally contraindicated (such as those with ileus, gastrointestinal perforation, severe respiratory diseases, or cardiovascular diseases). 4. Other patients who are deemed inappropriate for participation in this study due to serious complications or other reasons.

Design outcomes

Primary

MeasureTime frame
Whether the endoscopy screening method using an artificial intelligence system reduces the examination time compared to the method using a magnification system.

Countries

Japan

Contacts

Public ContactYosuke Minoda

Kyushu University Hospital Department of Medicine and Bioregulatory Science

minoda.yosuke.633@m.kyushu-u.ac.jp092-642-5286

Outcome results

None listed

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