Detection and Optimization of Treatment of Severe Cases of Dry Eye Disease

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, investigators propose that the confidence of primary carers be increased 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.

NCT Number	NCT07554911
Lead Sponsor	Singapore National Eye Centre
Conditions	Dry Eye
Enrollment	200 participants
Start Date	2023-10-18
Primary Completion	2028-07-31 (estimated)
Study Completion	2028-07-31 (estimated)
Updated on ClinicalTrials.gov	2026-05-01