AI predicts glaucoma progression in high-risk patients with high accuracy

Subject to further refinement with larger numbers of people, this may prove a helpful diagnostic aid for doctors, conclude the researchers.

With a view to using AI to try and bridge this gap, the researchers reviewed the clinical information for 12,458 eyes with suspicious early signs of glaucoma. The clinical features included age, sex, IOP, corneal thickness, retinal nerve layer thickness, blood pressure and weight . The average age of participants at the start of the monitoring period was 55, ranging from 33 to 76. Baseline age didn't emerge as a key predictive factor, but the average age of those who progressed to glaucoma was significantly lower than that of those who didn't, note the researchers.

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AI able to predict if and when people at high risk progress to glaucomaAI (artificial intelligence) that is trained to recognize red flags in retinal images and clinical information can predict if and when people at high risk of glaucoma, usually referred to as 'glaucoma suspects,' go on to actually develop it, finds research published online in the British Journal of Ophthalmology.
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