Having the capability to promptly diagnose by using Artificial Intelligence doesn’t just increase accessibility, it also means care providers can identify those at risk of blindness and get them to an ophthalmologist for treatment before it is too late.
The findings from the current Duke-led study  shows that the machine learning approach could someday be used as an accessible, accurate predictive tool for Alzheimer’s disease.
The diagnosing of Alzheimer’s disease generally relies on symptoms and cognitive testing.
Additional tests to confirm the diagnosis are invasive, expensive, and can be risky. Therefore, having a more accessible method to identify Alzheimer’s could greatly help patients.
By including improving diagnostic precision, allowing entry into clinical trials earlier in the disease course, and planning for necessary lifestyle adjustments are some of the ways a more accessible method will help patients .