AI shows Potential to fight diabetic Blindness

According to the study published in the journal of the American Academy of Ophthalmology, the researchers used deep-learning methods to create an automated algorithm to detect diabetic retinopathy. This algorithm was based on Artificial Intelligence to identify various eye disease.

Theodore Leng, M.D., lead author said that what they showed is that an artificial intelligence-based grading algorithm can be used to identify, with high reliability, which patients should be referred to an ophthalmologist for further evaluation and treatment. If properly implemented on a worldwide basis, this algorithm has the potential to reduce the workload on doctors and increase the efficiency of limited healthcare resources. They hope that this technology will have the greatest impact in parts of the world where ophthalmologists are in short supply.

Dr. Leng’s algorithm could identify all disease stages, from mild to severe, with an accuracy rate of 94 percent. It would be these patients that should see an ophthalmologist for further examination. An ophthalmologist is a physician who specializes in the medical and surgical treatment of eye diseases and conditions.

Approval from the U.S. FDA is required before the algorithm can be used in patients on a broad basis.