The research of identification of lacrimal obstruction by artificial intelligence

The research of identification of lacrimal obstruction by artificial intelligence - The research of identification of lacrimal obstruction by AI

Status

Recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000040354

Enrollment

300

Registered

2020-05-11

Start date

2011-08-01

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

lacrimal duct obstruction

Interventions

Anterior-OCT control

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: No other ophthalmic disorders without lacrimal duct obstruction

Exclusion criteria

Exclusion criteria: The presence of functional lacrimal duct obstructions; congenital nasolacrimal duct obstructions; and lacrimal passage obstructions caused by trauma, tumor, and chemotherapy; and previous lacrimal passage surgery.

Design outcomes

Primary

Measure	Time frame
The ability of AI to diagnose the lacrimal duct obstruction and the site of obstruction.	—

Countries

Japan

Contacts

Public ContactHitoshi Imamura

Tsukazaki Hospital Department of Ophthalmology

saneikai@tsukazaki-hp.jp079-272-8555

Outcome results

None listed

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