Objective:
To explore how technological advancements are improving the diagnosis and management of dry eye disease (DED).
Approach:
- NIBUT is superior to fluorescein TBUT for DED diagnosis.
- Tear osmolarity is a critical marker for tear film instability.
- MMP-9 testing is useful but may miss mild to moderate DED.
- Interferometry and meibography provide essential insights into tear film and meibomian gland health.
- AI and wearable technologies promise to enhance diagnostic accuracy and patient care.
- Some tests may have reduced sensitivity for mild DED.
- AI applications are still in early development stages.
- Sullivan et al, 2014
- Wolffsohn et al, 2025
- Mejía-Salgado et al, 2025
- Li et al, 2020
- Persiya and Sasithradevi, 2024
- Shah and Galor, 2021
- Rajan et al, 2024
Key Findings:
Interpretation:
Technological innovations are transforming DED diagnosis from subjective assessments to objective, data-driven evaluations, leading to improved patient outcomes.
Limitations:
Conclusion:
The integration of advanced technologies in DED diagnostics enhances understanding and management of the disease, paving the way for personalized treatment approaches.
Sources:
This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.