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Construction of Dry Eye Artificial Intelligence Diagnosis System by Convolutional Neural Network

Construction of Dry Eye Artificial Intelligence Diagnosis System by Convolutional Neural Network

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100052575
Enrollment
Unknown
Registered
2021-10-31
Start date
2021-11-01
Completion date
Unknown
Last updated
2022-10-17

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

Conditions

Dry eye

Interventions

case group:Nil

Sponsors

Eye Hospital and School of Ophthalmology and Optometry Wenzhou Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: The patients with dry eye aged from 18 to 75 years.

Exclusion criteria

Exclusion criteria: 1. Patients with psychosis, cognitive dysfunction, cardiovascular and cerebrovascular accidents, malignant arrhythmia, and vital organ dysfunction. Systemic connective tissue diseases and severe autoimmune diseases, such as rheumatoid arthritis, sarcoidosis, lupus erythematosus, thyroiditis, etc; 2. Those who need to use eye drops for a long time with a history of eye surgery, a history of trauma or other diseases.

Design outcomes

Primary

MeasureTime frame
ocular surface disease index;symptom score;tear meniscus height;tear film break-up time;corneal fluorescein staining;lid margin score;

Countries

China

Contacts

Public ContactDai Qi

Eye Hospital and School of Ophthalmology and Optometry Wenzhou Medical University

dq@mail.eye.ac.cn+86 18667127070

Outcome results

None listed

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