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Application of artificial intelligence for the classification of ampulla of Vater mass

Application of artificial intelligence for the classification of ampulla of Vater mass

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0011075
Enrollment
500
Registered
2025-10-29
Start date
2024-06-24
Completion date
Unknown
Last updated
2025-11-17

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

Conditions

None listed

Interventions

None listed

Sponsors

Seoul National University Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients who underwent endoscopy due to abnormal findings in Ampulla of Vater

Exclusion criteria

Exclusion criteria: 1. Cases where manipulation of AoV has been performed through surgery or other procedures 2. Cases where it is difficult to clearly identify the appearance of AoV in endoscopic images ? Images that are out of focus ? Images where evaluation of the surface is difficult due to blood, feces, etc. ? Images taken after a biopsy ? Images taken using functions other than white light, such as magnifying endoscopy

Design outcomes

Primary

MeasureTime frame
Accuracy of classification of AoV tumors using artificial intelligence models—

Secondary

MeasureTime frame
Evaluation of post-endoscopic papillectomy prognosis of ampulla of Vater tumors using artificial intelligence models—

Countries

Korea, Republic of

Contacts

Public ContactWoo Hyun Paik

Seoul National University Hospital

iatrus@hanmail.net+82-2-2072-2228

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026