Medical Network August 15 news British researchers said on the 13th that they have developed an artificial intelligence system that can quickly identify more than 50 kinds of eye diseases and give referral recommendations, with an accuracy rate of 94%, this level " Competing with top ophthalmologists."
The system was developed by the well-known artificial intelligence company "Deep Thinking" in collaboration with the Murfields Eye Hospital and the University of London College of Ophthalmology. The paper was published in the new British journal Nature Medicine.
Based on retinal-related scan image data from a large number of anonymous eye patients, the researchers developed a deep learning algorithm architecture that allowed them to learn the characteristics of eye diseases and provide referral recommendations for patients with severe conditions.
To validate the accuracy of this artificial intelligence system, the researchers asked the ophthalmologist to evaluate the same patient data and give a referral opinion to the system. The results showed that the accuracy of the artificial intelligence system was over 94%, which was comparable to that of top ophthalmologists.
“The number of eye scans we are implementing is increasing rapidly, and the speed of interpretation by human experts is far behind,†said Pierce Keane, one of the authors of the Moerfields Eye Hospital, in a statement. The artificial intelligence technology we developed is designed to identify those eye patients who need to see a doctor first and receive treatment. If we can diagnose and treat eye disease early, we have the best chance to save people's vision."
According to relevant statistics, there are currently more than 285 million people worldwide with varying degrees of visual impairment. Eye diseases are still a major cause of blindness, and early detection and treatment can help avoid many blindness problems.
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