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Development of AI to diagnose the corneal infection

Development of AI to diagnose the corneal infection - Development of AI to diagnose the corneal infection

Status
Recruiting
Phases
Unknown
Study type
Unknown
Source
JPRN
Registry ID
JPRN-UMIN000047720
Enrollment
200
Registered
2022-05-11
Start date
2022-02-21
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

Corneal infection

Interventions

None listed

Sponsors

Doshisha University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Corneal infection

Exclusion criteria

Exclusion criteria: The causative organism was not detected. Infection focus covers the whole area of the cornea. Insufficient quality of anterior segment images. Patients who are not willing to be involved in the study.

Design outcomes

Primary

MeasureTime frame
Whether AI shows accuracy to suggest causative organism >60%—

Countries

Japan,Asia(except Japan)

Contacts

Public ContactNaoki Okumura

Doshisha University Department of Biomedical Engineering

nokumura@mail.doshisha.ac.jp0774656508

Outcome results

None listed

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