On July 21st, a special doctor came to the Songhe Nursing Home in Haizhu District of Guangzhou City. The body of "He" is square and can't talk. The level of diagnosis is comparable to that of the old expert with 30 years of clinical experience. It should be dozens of times faster. Guangzhou Daily’s all-media reporter was informed that this was originally an “artificial intelligence doctor†who was developed by Guangzhou ophthalmologists and technology companies and has been “on the job†at the Australian Eye Hospital. Because a large number of studies mimicked the diagnostic method of ophthalmologists, the "artificial intelligence ophthalmologist" diagnosed at a rate of 20 fundus photographs per second, which is equivalent to 600 ophthalmologists working at the same time. This robot is equivalent to an old expert, but the speed is dozens of times faster. According to the deputy director of the Songhe Nursing Home He Yuyi, there are 900 beds in the hospital, of which the majority of the elderly are over 80 years old. "Many elderly people suffer from cataracts or diabetes, which have a great impact on vision." He Yuyi said that it takes a day for family members to take the elderly to a specialist hospital for examination, and older people are more inconvenient to go out. "The 'smart robot doctor' came to the hospital to see the doctor, the most convenient to pull!" said 80-year-old Ms. Zhong. "Artificial Intelligence Doctor" has half of Guangzhou blood The reporter was informed that this artificial intelligence ophthalmic diagnosis system was originally developed by the famous ophthalmologist at Zhongshan Ophthalmology Center of Sun Yat-sen University, Professor He Mingguang, who is now teaching at the University of Melbourne, and jointly developed by Robert Chang, a senior artificial intelligence expert at Stanford University, and a technology company in Guangzhou. Its outstanding performance was well received at the 2nd Asia Pacific Remote Ophthalmology Society held recently. At present, it has achieved automatic diagnosis of four common blind eye diseases such as diabetic retinopathy, cataract, macular degeneration and glaucoma. The R&D team said that it hopes to effectively improve the diagnostic efficiency of ophthalmologists through artificial intelligence, and reduce the misdiagnosis and missed diagnosis caused by fatigue or mood fluctuations, especially in high-intensity working environment. According to the results of the Australian Ophthalmology Research Center, the grading accuracy of the artificial intelligence has reached the level of ophthalmologists. Electrical Fire Monitoring System Electrical Fire Monitoring System,Electrical Fire Monitoring Detector,Combined Fire Monitoring Detector,Combined Electrical Fire Detector LIAONING YINGKOU TIANCHENG FIRE PROTECTION EQUIPMENT CO.,LTD , https://www.tcfiretech.com