At the 2018 World Artificial Intelligence Conference, Dr. Xiangyang Shen, Executive Vice President of Microsoft Global and Head of Microsoft's Artificial Intelligence and Microsoft Research Division, announced the cooperation between Airdoc and Microsoft and Eli Lilly. At the same time, Microsoft headquarters conducted a detailed interview with Airdoc. , The content of the interview is as follows:
For many people, artificial intelligence can already make a huge contribution to our health. Now artificial intelligence (AI) can identify your retina and find potential chronic diseases in less than a second.
Airdoc is a fast-growing startup company with a global mission in China. Airdoc has developed an artificial intelligence chronic disease recognition algorithm that can identify dozens of chronic diseases and complications from retinal images: it can identify everything from diabetes to cardiovascular disease to Chronic diseases such as optic nerve disease.
Today's artificial intelligence can identify chronic diseases in an instant
(Dalei Zhang, founder of Airdoc)
The accuracy of the algorithm in identifying retinopathy is comparable to that of top doctors. And it has many features such as painlessness, low cost and automation in the whole operation process. It can provide health services for large groups of people worldwide.
"We deploy the algorithm to the cloud to help users better understand their own health." After family members have medical problems, in order to allow more patients to enjoy better medical services, Zhang Dalei founded it four years ago Airdoc.
For a long time, retinal examination has been a routine examination in the work of doctors. The retina can not only detect the health of the eyes, but also check the conditions of other parts of the body. In order to better allow artificial intelligence to recognize retinal images, Zhang Dalei formed a like-minded team. With the help of Microsoft Azure, he trains artificial intelligence to look for tiny signs of disease, such as spots, bleeding, discoloration, blood vessel deformation, and other abnormalities. Finally, the Airdoc chronic disease recognition algorithm was developed.
"We found that Microsoft's cloud infrastructure can help us train algorithms better," Zhang Dalei said. "It is very easy to train deep learning models in Azure. At the same time, the security of Azure data is very guaranteed. Is very important in our work. Airdoc has been working closely with the Microsoft machine learning team."
Zhang Dalei demonstrated Airdoc's chronic disease recognition system products in his office in Wudaokou.
Just sit on a stool, place your chin on the holder of the fundus camera, and stare into the darkness in front of you. Then a green cross will appear in front of your eyes, and after a while, a white light flashes to complete the shooting of the retinal image, and then another pair of glasses repeats the process.
After the machine takes a high-resolution retinal image, the algorithm immediately sends the retinal image to the cloud, where it only takes 20 to 30 milliseconds (about the same time as a blink of an eye) to complete the recognition of the retinal image.
Today's artificial intelligence can identify chronic diseases in an instant
(Airdoc product experience)
After a while, a detailed diagnostic dashboard will be sent to your WeChat. The risk of chronic diseases can be judged from low to moderate to high. If there is a problem, it will urge you to seek professional medical help.
Airdoc's chronic disease recognition algorithm can directly identify 30 diseases and complications. In the future, this number will be increased to 50, and may eventually exceed 200.
Zhang Dalei believes that Airdoc's algorithm provides new services on the medical supply side, and artificial intelligence can provide technical support on a large scale to alleviate the shortage of medical resources. So far, Airdoc has completed more than 1.12 million screenings in China, the United States, India, the United Kingdom and parts of Africa. "Airdoc users are all over the world, and we hope that our chronic disease identification products can help users better prevent various chronic diseases."
China has a population of 1.3 billion and more than 114 million people suffer from diabetes. However, the awareness rate of diabetes is only 30%. The other 70% do not know that they have the disease. If they are not caught early, they will eventually suffer from serious complications. Such as blindness, stroke and other potentially fatal diseases.
"Diabetic retinopathy (DR) is one of the most common and serious complications of diabetes. Once patients develop symptoms, they are already in the advanced stages of DR and will be blind without timely treatment," said Wei Ruili, director of the Department of Ophthalmology, Shanghai Changzheng Hospital The professor said that Airdoc's products have been used in Shanghai Changzheng Hospital to provide doctors with accurate and simple diagnostic tools.
Today's artificial intelligence can identify chronic diseases in an instant
(Shanghai Changzheng Hospital uses Airdoc products)
"Through artificial intelligence, preliminary examinations can be performed, doctors can make better arrangements for patients, and doctors have more time to deal with relatively serious cases." Zhang Dalei said.
In China, the number of ophthalmologists who can independently recognize retinal images is far from enough, and Airdoc is actively looking for scenarios for using artificial intelligence. This year Airdoc will install Airdoc’s chronic disease recognition system in 200 of China’s largest eyewear retail chain eyewear stores. In the next year, there will be 1,200 eyewear stores, so that customers can quickly perform eye exams or purchase glasses. Perform a retinal scan to complete the health check.
At the same time, Airdoc is developing a new type of device that can help users conduct continuous monitoring. A device similar to VR glasses can monitor the changes in our chronic diseases in real time.
Original English:
Diagnosing diseases with AI in the blink of an eye
Let artificial intelligence (AI) look into your eyes. In less than a second it can check for potenTIal medical problems and it might just save your life.
Airdoc, a fast-growing start-up in China with a global mission, has created an AI-driven system that takes and analyses photographic images of the reTIna at the back of each eyeball. From this data, it seeks out the telltale signs of dozens of chronic illnesses and condiTIons such as diabetes, hypertension, arteriosclerosis, opTIc nerve disease, high myopia, age-related macular degeneration, and many more.
Painless, low-cost, and automated, it has a higher accuracy rate on finding indications of diseases on retinal images than slower conventional diagnoses by doctors. As such, it has the potential to make preventative healthcare available to millions of people, not just in China, but around the world.
"We are using an algorithm in the cloud to save the lives of people who don't even know they have serious medical problems," says Ray Zhang, who founded Airdoc four years ago.
Doctors have long examined the retina not just to gauge the health of the eye, but also for signs about the rest of the div. Knowing this, Ray put together a team of like-minded IT engineers who amassed data from the pixels of thousands of retinal scans and created an algorithm. With the power of Microsoft Azure's machine learning capabilities, they set about teaching it how to look for tiny signs of disease like specks, spots, discoloration, deformed blood vessels, and other abnormalities.
“We found that Microsoft has the most advanced cloud infrastructure to do this,†Zhang said. “We have been working with the Microsoft machine learning team very closely. Training deep learning models in Azure is very easy.†Patient data is also kept secure and confidential by Azure, which is “mission-critical to our service level for our customers.â€
In his office in suburban Beijing, Zhang proudly demonstrated the physical part of Airdoc's system – a small desktop device that looks similar to a scanner a neighborhood optometrist might use for a routine eye exam.
You sit on a stool, lean forward, place your chin on a padded brace, and stare into the darkness of an eyepiece. The algorithm then takes over, precisely adjusting the angle of your head until a green cross comes into focus in the gaze of your right eye. A moment later there's a bright, but not uncomfortable, flash of white light. The process is repeated for your left eye.
The machine has just taken high-resolution medical-grade images of both your retinas. It instantly sends them to the cloud where it takes 20 to 30 milliseconds (about the same time as an eye blink) of computation to analyze both.
Moments later an impressively detailed diagnostic dashboard is sent to your smartphone. It rates from low to medium to high your susceptibility to a long list of diseases. If there is a problem, it urges you to seek professional medical help.
Right now, it can search for 30 diseases. More machine learning will soon boost that number to 50, and eventually, it could go beyond 200.
Zhang regards his system as a gamechanger because of its potential to deliver at scale and relieve stretched medical resources. To date, it has scanned more than 1.12 million people, mostly in China, but also in the United States, India, Britain, and parts of Africa. "Airdoc users are all over the world. We hope our deep learning technology can prevent all kinds of disease."
China, with a population of 1.3 billion, only has about 1,100 eye doctors who are qualified to analyze retinal images. So, the challenge of providing adequate diagnostic services is truly massive – and perhaps no more so than for the epidemic of diabetes.
Authorities estimate as many as 114 million Chinese have diabetes – but only 30 percent of them know that. The other 70 percent are unaware and, without early detection, will eventually be struck down with serious maladies, like blindness, strokes and other potentially fatal conditions .
“Diabetic retinopathy, or DR, is one of the most common and serious complications of diabetes. Once patients feel symptoms, they are already in a severe stage of DR and will go blind without proper treatment,†says Dr. Rui Li Wei (pictured in top image) of Shanghai's Changzheng Hospital, one of several major medical institutions that now routinely uses Airdoc's technology as a quick, accurate, and simple diagnostic tool.
By taking on the time consuming and laborious task of reading scans, physicians can more easily identify and prioritize patients with serious problems. “It frees up a doctor's time to work with more severe cases,†Zhang says.
Meanwhile, Airdoc is looking at new ways to widen its reach. A major Chinese optical retail chain has recently installed its machines in 200 stores so that when customers come in for an eye check or to buy glasses, they can also get a quick retinal scan . They hope to increase this to 1200 stores within the next three years.
Airdoc is also exploring how it can give ongoing help to patients with diabetes and other diseases. It is currently developing a visor – like those used for virtual reality games – that could regularly conduct scans and let their doctors see how their treatment is progressing.
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