Developing an iOS application that uses machine learning for the automated diagnosis of blepharoptosis

Developing an iOS application that uses machine learning for the automated diagnosis of blepharoptosis - automated diagnosis of blepharoptosis

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000044660

Enrollment

1000

Registered

2021-06-25

Start date

2017-10-18

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

blepharoptosis

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: blepharoptosis

Exclusion criteria

Exclusion criteria: Trauma

Design outcomes

Primary

Measure	Time frame
Sensitivity , Specificity	—

Countries

Japan

Contacts

Public ContactDaisuke Nagasato

Tsukazaki Hospital Ophthalmology

d.nagasato@tsukazaki-eye.net0792728555

Outcome results