An Eye on AI
Algorithms that can help screen for eye diseases can make overworked diagnosticians’ lives easier
Daniel Ting |
At A Glance
- Daniel Ting explains how AI is changing the medical imaging field, assisting in detection of medical conditions
- The deep learning system for retinal disease screening is currently being used to detect three conditions: glaucoma, referable diabetic retinopathy and AMD
- AI can be used for lifelong monitoring of a patient’s health and could track the progress of specific diseases
- In the future, AI could help predict the incidence and progression of various retinal conditions and even systemic diseases.
Many instances of ocular diseases go undiagnosed because of a lack of trained professionals to handle the vast amount of necessary screening. Algorithms capable of distinguishing referable images from those that don’t require extensive human scrutiny can help lighten the load – and could potentially be the answer to the challenge of overworked, under-resourced diagnostic specialists. Here, we gain the perspective of Daniel Ting, Assistant Professor at the Singapore National Eye Center, SingHealth Duke-NUS Medical School, National University of Singapore.
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