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

NCT07554911 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2026-05-01

No results posted yet for this study

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, 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.

Conditions

  • Dry Eye

Sponsors & Collaborators

  • Singapore National Eye Centre

    lead OTHER_GOV

Principal Investigators

  • Louis Tong · Singapore Eye Research Institute (SERI)

Eligibility

Min Age
21 Years
Max Age
99 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-10-18
Primary Completion
2028-07-31
Completion
2028-07-31

Countries

  • Singapore

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07554911 on ClinicalTrials.gov