Google AI ophthalmologists to enter India will benefit hundreds of millions of people with diabetes

(Original title: Google’s AI ophthalmologist has marched to India and hundreds of millions of people with diabetes will benefit from this)

Author: Wang Xu

Lei Feng network (public number: Lei Feng network) news, according to foreign media reports, Google is preparing to do a large-scale experiment using machine learning to expand the exploration of medical health. If successful, it will help protect millions of people with diabetes from complications such as blindness.

Last year, Google researchers claimed they were training image recognition algorithms to detect diabetes-related eye diseases. The software developed to examine the patient's retinal image reveals a tiny aneurysm. This is the early stage of diabetic retinopathy, or "sugar network disease," and can lead to blindness if untreated.

At the "WIRED Business Conference 2017" a few days ago, a project leader at Google stated that the technology is beginning to be applied to some eye hospitals in India. Lily Peng, product manager of Google Medical Brain's AI Research Group, said that India is one of the few places in the world with the largest number of ophthalmologists, which means that many diabetics do not get an annual screening of sugar net disease.

“Sweet-eye disease blindness is completely preventable, but because people cannot be screened early, half of people have lost vision before they detect the disease.” She described the status quo in India. “The promise of this technology is to make medical and health more accessible.” According to Lei Fengnet, at present, there are more than 400 million people in the world suffering from diabetes, including approximately 110 million in China and about 70 million in India.

In India, Google is working with the Aravind Eye Care System, a network of eye hospitals established in the late 1970s that is believed to help reduce the chance of blindness caused by cataracts. Aravind helped develop the retinal screening system by providing some of the images needed to train the Google image analytics algorithm. The system uses a similar deep learning technology that allows Google image search and photo storage services to make tasks like distinguishing between dogs, cats and people.

Google 犎ツ甑 畚 畚 畚 畚 畚 畚 畚 糜谑 糜谑 糜谑 糜谑 糜谑 ね枷竦 ね枷竦 ね枷竦 ね枷竦 ね枷竦 ね枷竦 ね枷竦 诹俅 诹俅 诹俅 诹俅 诹俅 诹俅 诹俅 诹俅 诹俅 诹俅 诹俅 诹俅     ily Peng said that Google 牳崭 谟 Zhao 谟 扔Ravind completed a clinical study, which means that the technology has really been used to diagnose patients. She said that Google is now working to allow patients to use this technology.

At the same time, she refuted the view that although this technology may be a good thing for patients, it will reduce the doctor's job. Contrary to this, she believes that Google is not responsible for looting, but if it's time to get rid of it, it's not worth it. Tomb ぷ鳌 ぷ鳌! This is a fierce sacred smashing culm." More/p>

Lei Fengnet also previously reported that domestic use of AI-assisted medical imaging diagnostics of the start-up company's peptide building blocks, it also chose to read from the fundus network of the eye disease.

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