(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 ç•š ç•š ç•š ç•š ç•š ç•š ç•š 糜谑 糜谑 糜谑 糜谑 糜谑 ã枷竦 ã枷竦 ã枷竦 ã枷竦 ã枷竦 ã枷竦 ã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 î–’ î–’ î–’ î–’ ily Peng said that Google ç‰³å´ è°Ÿ Zhao è°Ÿ 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 ã·é³Œ ã·é³Œ! 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.
FFC connector is a new type of data cable made of PET insulation material and extremely thin tin-plated flat copper wire, which is pressed by high-tech automation equipment production line. It is soft, bending and folding at will, thin in thickness, small in volume, easy to connect, easy to disassemble and easy to solve electromagnetic shielding (EMI).
FPC Flexible Printed Circuit is a form of Circuit produced on a Flexible surface, which may or may not have an overlay (usually used to protect FPC circuits). FPC is more and more widely used because it can bend, fold or repeat motion in a variety of ways and has the advantages of light, thin and flexible compared with ordinary hard board (PCB).
FPC composition materials
1. Insulating film
The insulating film forms the base layer of the circuit, and the adhesive attaches the copper foil to the insulating layer. In a multilayer design, it is then bonded to the inner layer.
They have also been used as a protective cover, in order to make circuit from dust and damp, and the ability to reduce stress during bending, copper foil to form the conductive layer. In some flexible circuits, adopted by the aluminum or stainless steel formed by the rigid member, they can provide the size stability, provides a physical support components and resettlement of the wire, as well as the release of stress.
2, the conductor
Copper foil is suitable for use in flexible circuits, it can use the electric deposition (Electrodeposited, ED.), or plating system.
3. Adhesive
In addition to being used for bonding insulating films to conductive materials, adhesives can also be used as cladding, protective coating, and cladding. The main difference between the two is in the application in which the covering layer is bonded to the covering insulating film in order to form a laminated structure of the circuit.
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