FindTrial
Sign In

Prediction and Classification of Visual Field Progression with Artificial Intelligence

Prediction and Classification of Visual Field Progression with Artificial Intelligence

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0007190
Enrollment
1080
Registered
2022-04-14
Start date
2022-03-25
Completion date
Unknown
Last updated
2022-05-02

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

Pusan National University Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients who underwent visual field tests at least 6 times at Pusan ??National University Hospital

Exclusion criteria

Exclusion criteria: Patients who underwent visual field tests less than 6 times Pateitns with neurological or retinal disease that could alter optic disc and affect visual field

Design outcomes

Primary

MeasureTime frame
Visual field : MD, PSD, VFI—

Secondary

MeasureTime frame
Age, GAT, Spheric equivalant, Axial length, CCT, HTN, DM, Lens status—

Countries

Korea, Republic of

Contacts

Public ContactHwayeong Kim

Pusan National University Hospital

ot2017117@naver.com+82-51-240-7326

Outcome results

None listed

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