Eyeagnosis app to screen for diabetic retinopathy developed by high school students; MIT publishes new method to study sleep without physical sensors
Aug 22, 2017 · 1 min read
Eyeagnosis app developed by high school students shows early success to screen for diabetic retinopathy; By fitting a 3D-printed lens onto a smartphone, the phone’s flash can be focused to best illuminate a retina and the disease can be diagnosed by analyzing the image with the help of AI.

80% of accuracy reported by researchers at MIT using radio frequencies and AI algorithms as a new method, to analyze sleep stages without physical sensors; New method allows same data collection without disturbing patient’s behavior; And it facilitates Home-based monitoring for patients and doctors in the near future.
