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Creating AI to predict diagnosis and treatment of ophthalmic diseases

Creating AI to predict diagnosis and treatment of ophthalmic diseases - Creating AI to predict diagnosis and treatment of ophthalmic diseases

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000057008
Enrollment
700
Registered
2025-02-12
Start date
2024-07-26
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

orbital disease

Interventions

None listed

Sponsors

Doshisha University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: The subjects must have been diagnosed with ophthalmologic diseases at the outpatient clinic of Kyoto Prefectural University Hospital between January 1, 2010 and June 30, 2028, the end of the study period.

Exclusion criteria

Exclusion criteria: Patients or surrogates who have indicated that they will not participate in this study

Design outcomes

Primary

MeasureTime frame
Agreement between ophthalmologist's judgment and AI's judgment

Countries

Japan

Contacts

Public ContactNaoki Okumura

Doshisha University Department of Biomedical Engineering

nokumura@mail.doshisha.ac.jp0774-65-6508

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026