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Development of artificial intelligence in ophthalmology

Development of artificial intelligence in ophthalmology - Development of artificial intelligence in ophthalmology

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000043211
Enrollment
905
Registered
2021-02-01
Start date
2021-02-01
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

Cataract, dry eye disease, allergic conjunctivitis, glaucoma, corneal disease, etc

Interventions

None listed

Sponsors

Keio University School
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: All patients

Exclusion criteria

Exclusion criteria: no opt-in cases

Design outcomes

Primary

MeasureTime frame
Performance of artificial intelligence in the diagnosis or/and evaluation of ophthalmologic data.

Countries

Japan

Contacts

Public ContactEisuke Shimizu

Keio University School of Medicine Department of Ophthalmology

ophthalmolog1st.acek39@keio.jp0333531211

Outcome results

None listed

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