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Glaucoma screening: where are we and where do we need to go?
Nicholas Y Q Tan1, David S Friedman2,3, Ingeborg Stalmans4
1Singapore Eye Research Institute, Singapore.
Current Opinion in Ophthalmology
|January 7, 2020
Summary
Artificial intelligence and telemedicine can improve glaucoma screening accuracy and reduce costs. Further research is needed to determine the full benefits of these technologies for widespread glaucoma detection.
Area of Science:
- Ophthalmology
- Medical Technology
- Artificial Intelligence
Background:
- Current glaucoma screening recommendations are neutral due to a lack of long-term outcome data.
- Definitive studies on screening benefits are unlikely due to the long follow-up periods required.
Purpose of the Study:
- To explore the potential of artificial intelligence (AI) and telemedicine in enhancing glaucoma screening.
- To address the need for research on the cost-effectiveness and implementation of new screening technologies.
Main Methods:
- Deep learning systems analyze optic disc photographs and optical coherence tomography (OCT) for glaucoma diagnosis.
- Telemedicine facilitates remote imaging of the ocular fundus, reducing the need for expert graders.
Main Results:
- AI systems demonstrate higher diagnostic accuracy for glaucoma compared to human graders.
- Less expensive screening is possible, potentially reaching underserved populations.
- Glaucoma screening has been found cost-effective in India and China.
Conclusions:
- AI and telemedicine offer significant potential to improve glaucoma screening accuracy, cost-effectiveness, and accessibility.
- Further research is essential to optimize the implementation of these advanced technologies in clinical practice.
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