Development of Diagnostic Artificial intelligence in the Ophthalmology

Development of Diagnostic Artificial intelligence in the Ophthalmology - Development of Diagnostic Artificial intelligence in the Ophthalmology

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000040321

Enrollment

300

Registered

2020-05-07

Start date

2020-05-01

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, Keratoconus, Glaucoma, Allergic conjunctivitis, etc

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Ophthalmological data in Keio University (IRB number:20090277,20170306,20180206) and Tsurumi University (IRB number:1634)

Exclusion criteria

Exclusion criteria: A case which does not want to commit to the clinical trial, no opt-in paper, other

Design outcomes

Primary

Measure	Time frame
Clinical parameters by the Ophthalmological images	—

Countries

Japan

Contacts

Public ContactShimizu Eisuke

Keio University School of Medicine Department of Ophthalmology

ophthalmolog1st.acek39@keio.jp0353633972

Outcome results