Detecting retinal diseases with advanced AI technology

An international group of researchers has successfully applied AI technology to real-world retinal imagery to detect possible diseases more accurately and on a larger scale. Retinal examinations can detect a number of diseases that affect the eye. Fundus photography is a process of taking photographs of the interior of the eye through the pupil and is a way to screen and monitor such retinal diseases. The introduction of artificial intelligence (AI) technology to fundus photography has improved the platform and enabled it to detect and monitor retinal diseases on a large scale. The Comprehensive AI Retinal Expert (CARE) system was developed by an international group of researchers from Sun Yat-sen University, Beijing Eaglevision Technology (Airdoc), Monash University, University of Miami Miller School of Medicine, Beijing Tongren Eye Centre and Capital Medical University.