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Detection and Optimization of Treatment of Severe Cases of Dry Eye Disease
Sponsor: Singapore National Eye Centre
Summary
The bulk of dry eye patients are found in the community. The lack of satisfactory protocols and confidence is a significant deterrent for practitioners to manage such patients, which may result in inaccurate referrals, and unhappy patients. Problems are compounded by comorbidities of dry eye, even if these are not diagnosed formally. Aligning with the healthcare strategy to move beyond healthcare to health, and beyond hospital care to community care, we propose that we increase the confidence of primary carers by using an image-based screening system. This study aim to determine the efficacy of this screening AI algorithm, a prototype, in addition to or instead of screening of dry eye using a simple DEQ-5 symptom questionnaire.
Key Details
Gender
All
Age Range
21 Years - 99 Years
Study Type
OBSERVATIONAL
Enrollment
200
Start Date
2023-10-18
Completion Date
2028-07-31
Last Updated
2026-04-28
Healthy Volunteers
Yes
Conditions
Locations (1)
Singapore Eye Research Institute
Singapore, Singapore