CRADLE App Detects Eye Diseases in Children

Oct-05-19 The CRADLE smartphone app can detect early eye diseases in children from existing photos with over 80 percent accuracy.

The CRADLE (ComputeR Assisted Detector LEukocoia) app was created back in 2014 by researcher Bryan Shaw as a way to identify and track traces of leukocoria—a white reflection from the retina that can be used to detect many different eye diseases. Over time, the app’s algorithm has been improved to the point that it can detect the slightest trace of white in the images, allowing for early detection of eye diseases that include refractive error, Coats’ disease, and retinoblastoma—a form of cancer of the eye.

In a test using the new CRADLE app, the system was able to identify children with eye disorders from a photograph taken on average more than one year before the child was officially diagnosed with an 80 percent accuracy.

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[SCIENCEMAG.ORG]
[BAYLOR.EDU]

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