AI Can Spot Eye Disease with 94.5% Accuracy

AI now can spot eye diseas and explain its’ results. This is a huge step forward, as before the results were always kind of coming out of a black box. This will make it easier to understand how the underlying data is driving the results. It is especially important as there is a hight need from doctors to control the process and choice of treatment.
 
“Doctors and patients don’t want just a black box answer, they want to know why,” says Ramesh Raskar, an associate professor at MIT. “There is a standard of care, and if the AI technique doesn’t follow that standard of care, people are going to be uncomfortable with it.”

Clinically applicable deep learning for diagnosis and referral in retinal disease

Clinically applicable deep learning for diagnosis and referral in retinal disease

A novel deep learning architecture performs device-independent tissue segmentation of clinical 3D retinal images followed by separate diagnostic classification that meets or exceeds human expert clinical diagnoses of retinal disease.

Source: www.nature.com/articles/s41591-018-0107-6

Posted by ricmiq

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