According to the official data of the Health and Welfare Commission, the value of the Chinese ophthalmology market in 2012 was 46.1 billion, which was updated to 82.7 billion in 2016. Experts predict that in 2021, the domestic ophthalmology market will rise to 159 billion.
Although the market is large, doctors are unable to do so because of their limited energy. The high requirements and high quantity of ophthalmic diagnosis have become the limit of development, and the emerging AI technology can greatly improve their work efficiency, especially for eye screening at the grassroots level. AI can greatly reduce the doctor's reading. The burden of the film.
Meeting the needs of doctors and reducing burdens for doctors is the goal and motivation of Vision China and many companies. Today, 5 years of hurricane and rain, 5 years of spring and autumn, Vision China accompanied the Chinese ophthalmologist after 5 years of tempering and growth, 5 years of hard work and finally able to show its Fanghua. At Vision China 2018, Vision China teamed up with Airdoc for the first time at this year's closing ceremony to bring a feast of artificial intelligence to showcase the fruits of the ophthalmologist's future.
This time, the man-machine is no longer standing on the opposite side of the game, but in a collaborative way to compete with doctors without AI. One team is a team of 5 doctors and the other is a team of 5 non-eye professional young doctors + AI team. At the same time, hundreds of doctors under the stage were randomly assigned to the expert team and the AI ​​team to participate in the competition.
The event used on-site real-time answer form, and there was no standard answer. Artificial intelligence and doctors answered the questions at the same time. Professor Tang, the review expert, scored the two teams.
Strong lineup
The judges of the event included the chairman of the Vision China conference, Professor Wei Jia from the Eye Visual Hospital of Wenzhou Medical University, Professor Tang Shibo from Aier Group, Professor Liu Jiang from the Cixi Medical Engineering Institute of the Chinese Academy of Sciences, and Professor Liu Tiejun from the Massachusetts Department of Health and Human Resources. intelligent medical Society of professional Committee of senior intelligence expert Professor Jin Hee.
The Zhengfang Autonomous Reading Team was led by Professor Zhao Mingwei of Peking University People's Hospital. The four members were Zhao Xiaojuan of Beijing Aerospace General Hospital, Xu Zequan of Kangming Eye Hospital Group, Zhang Zheng of Beijing Meier Dinghui Hospital, and the First Affiliated Hospital of China Medical University.
The leader of the anti-party AI support team is Professor Chen Feng of Wenzhou Medical University. The team members are Wei Yahui of Peking University First Hospital, Zhao Jie of Beijing Meiermu Hospital, Sun Mingming of Zhongshan Hospital affiliated to Dalian University, and Tengda of the People's Liberation Army General Hospital.
Human-computer cooperation helps doctors sail
Eyes are fast, no AI team reading the film first
Under the guidance of the host Fang Yiming, thousands of ophthalmologists began the first tit-for-tat link – completing 10 fundus readings in 30 minutes. The images used in the competition covered the common diseases of the fundus. The results did not have a standard answer. After the two teams answered the questions, they were reviewed by the review experts. Finally, Professor Tang Shibo scored the two teams according to the final answer of the audience.
After the 10 entrants took the stage, the AI ​​team took the lead to enter the state, detailed the description of the lesion information covered by the picture, and obtained the first score. Subsequently, under the leadership of Professor Zhao Mingwei, the team of experts quickly made efforts to equalize the score with the same accurate analysis. After the two teams were leveled, the young AI team members gradually became familiar with the assistance of artificial intelligence. In the ninth question, there was a striking agreement. All the members of the two teams chose the second stage of diabetic retinopathy. The following ten questions were made by both parties. The exact same answer. In the end, after the first round of the team of doctors and experts won 7 points, the AI-assisted young doctors still lacked experience, and lost the first round with a weak score.
Expert team won the first link victory
For the results of the competition, the two teams led by Professor Zhao Mingwei and Professor Chen Feng each expressed their views on artificial intelligence. Professor Zhao Mingwei gave an affirmation to AI as an expert representative. Professor Chen Feng also said that artificial intelligence can quickly give supplementary advice and provide great help for non-eye doctors.
The strongest battle, hundreds of ophthalmologists tit for tat
After the first round of fierce confrontation, the game quickly entered the second round of chasing the wind and electricity, 30 fundus maps, the shortest time to pick out the photo of the sugar net and the doctors who staged the winner.
After the start of the game, hundreds of doctors on the stage and under the stage began to answer questions quickly, and the entire venue was filled with a tense atmosphere.
Under the doctor's answer
Artificial intelligence, which is known for its speed, has a natural advantage in this segment. Although the AI ​​team members lack experience, with the help of AI, it took only 3 minutes to complete the interpretation of 30 images, and the accuracy rate reached 91%. Won the victory of the game.
Although artificial intelligence assists young doctors in this round of success, in the clinical, the fundus is only one of the factors in the interpretation of sugar nets, doctors still need other standards and medical history as a reference. At this stage, although artificial intelligence is slightly naive, it is like the leaves of spring are full of hope. Of course, this growth process requires constant assistance from doctors.
The judges of the conference presented awards to the doctors on stage
The judges of the conference presented awards to the award-winning doctors
Assisting endocrinologists across departments
The eyes are not only the window of the mind, but also a barometer that reflects the health of the body.
There are more than 100 million diabetic patients in China. Diabetic retinopathy is the most common complication of diabetes. Diabetes patients are required to take pictures of the fundus in clinical guidelines. Endocrine department doctors do not look at diabetic retinopathy, and generally need to consult with an ophthalmologist, but now due to the relatively slow development of ophthalmology, most diabetic patients do not monitor fundus health.
When diabetic retinopathy develops to the advanced stage, it can cause repeated vitreous hemorrhage, and even lead to retinal detachment, eventually leading to blindness. At this time, it is very difficult to treat it again, or even completely lose the treatment opportunity. The advanced diabetic retinopathy is Can't recover.
The emergence of artificial intelligence can help solve this situation very well. The form of human-computer collaboration proves that non-eye doctors can quickly and accurately interpret and staging diabetic retinopathy with the help of artificial intelligence. It is reported that Airdoc is standardized. The Metabolic Disease Management Center (MMC) artificial intelligence algorithm service partner, its chronic disease identification algorithm has been widely used in the endocrine department.
Join hands with general practitioners to jointly develop a new era of artificial intelligence medicine
Professor Yan Jia said: The number of Chinese medical experts is limited, artificial intelligence can help young doctors have the ability to read, but ultimately it is still human. We should open our arms to new things. Before the digital photos replaced the film, artificial intelligence is now without emotion and fatigue, and can provide good services for us.
Professor Yu Jia published his opinion on AI
There is a huge imbalance in the allocation of medical resources in China between regions and hospitals. Reducing and eliminating these imbalances is an important goal of government, society and related institutions and health care reform. The rapid development of artificial intelligence technology provides a powerful tool for achieving this goal.
In the current medical environment, the status of doctors in the final decision-making is unshakable and will not be changed by the emergence of one or two new technologies. The purpose of this human-computer collaboration activity is to increase everyone's understanding of artificial intelligence. The confrontation model is to prove the practicality of primary medical institutions plus artificial intelligence. Let doctors feel close to artificial intelligence, which is the embodiment of the organic combination of human doctors and artificial intelligence.
According to the arterial network reporter, this AI algorithm is provided by Airdoc, an expert in artificial intelligence in the medical field. Based on the chronic disease recognition algorithm developed by millions of retinal images, the algorithm can accurately identify a variety of systemic chronic diseases and common fundus diseases. Effectively improve the diagnostic efficiency of doctors, and also help remote grassroots doctors and medical institutions lacking ophthalmic configuration to improve medical service. Now, Airdoc has been implemented in many domestic medical institutions and out-of-hospital institutions including Baodao glasses.
Xingbang Health, the new retail enabling platform company, introduced Airdoc equipment in cooperative pharmacies. “Pharmacies are close to consumers, and consumers can experience convenient screening in pharmacies without going to the hospital.†Wang Hao, CEO of Xingbang Health Technology, told the health community that the screened patients need to refer to a professional hospital for routine consumer conversion in the pharmacy, while the patients in need of treatment are treated in the hospital, followed by medication and treatment. It can also be done at a pharmacy, thereby forming a closed loop.
Professor Wei Ruili from Shanghai Changzheng Hospital said: "With the Airdoc system, we can extend the hands of our professional doctors and our inspection technology to all parts of the country, that is, in any corner, medical images can be transmitted to the cloud. , assisted analysis to obtain accurate recommendations, so that patients can get early prevention and auxiliary analysis recommendations at any time."
In this human-computer collaboration activity, Airdoc allows everyone to see the growth of young doctors with the help of AI. Then, if the grassroots doctors can get the help of AI, the primary medical services will inevitably bring about tremendous innovation. In the future, we can use AI to play an increasingly important role in balancing medical resources, reducing the workload of front-line doctors, and improving the work of grassroots doctors and young doctors.
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