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Automatic identification of time and type of tear film breakup based on deep learning

Automatic identification of time and type of tear film breakup based on deep learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200065460
Enrollment
Unknown
Registered
2022-11-04
Start date
2022-11-15
Completion date
Unknown
Last updated
2023-05-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

dry eye disease

Interventions

Gold Standard:1. OSDI score >= 13 points
2. BUT < 10 s.
Index test:AI measures fluorescein tear film break-up time

Sponsors

Eye Hospital of Wenzhou Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 45 Years

Inclusion criteria

Inclusion criteria: 1. Aged 18-45 years; 2. Dry eye patients with BUT = 13 points; 4. Agree to participate in this trial, voluntarily test and sign the informed consent.

Exclusion criteria

Exclusion criteria: 1. Patients with other eye diseases that affect the normal formation of tear film, such as keratitis, corneal ulcer, corneal leukoplakia, corneal pannus, eye trauma, etc.; 2. Recent (within 3 months) history of eye surgery, including ocular surface and intraocular surgery; 3. Abnormal eyelid anatomy, such as incomplete closure, eyelid defect, proptosis, etc.; 4. Patients who are taking drugs that affect tear secretion; 5. Patients who are instilling other eye drops except for the treatment of dry eyes; 6. Any contact lens wearer; 7. Those who are allergic to sodium fluorescein; 8. Those with poor cooperation or unqualified data quality.

Design outcomes

Primary

MeasureTime frame
Ocular Surface Disease Index (OSDI) Questionnaire;Fluorescein tear film break-up time;Fluorescein tear film break-up type;Corneal fluorescence staining;River of tears height;schirmer test;Meibomian gland assessment;

Countries

China

Contacts

Public ContactJinyang Li

Eye Hospital of Wenzhou Medical University

jinyangli@foxmail.com+86 13957713091

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026