Author: Chen Yu Release Date: 2019-01-17

An international research team led by Australian researchers has developed a new technology that uses artificial intelligence to analyze retinal images generated by common optometry equipment to efficiently identify diabetic retinopathy with an accuracy rate of 98%.

Diabetic retinopathy is one of the complications of diabetes and a common blinding eye disease. The cause is that the high glucose toxicity caused by diabetes causes changes in the ocular nervous system and capillaries, and the diagnosis of the disease at an early stage is essential for protecting the patient's vision. The researchers developed an image processing algorithm based on artificial intelligence technology. By analyzing the retinal images taken by the fundus camera, the key features of diabetic retinopathy can be automatically and instantaneously identified, that is, the liquid leaking from the retinal capillaries in the eyeball. The accuracy rate is 98%.

Kant Kumar, a professor at the Royal Melbourne Institute of Technology in Australia, said that the commonly used methods for detecting diabetic retinopathy are expensive and invasive, such as the need for professional "eye optical coherence tomography".

Source: Beijing Daily

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