On August 25th, Imagine Technology and the Tianjin Medical Association Radiology Branch jointly held the 2018 Tianjin Radiology Academic Annual Conference AI Sub-forum and the “AI Pilot, Imagine 100+†theme for the global application sharing session. Chen Kuan, the founder of the technology, told the guests at home and abroad that he had been thinking about technology for more than three years, and finally realized the global application results of the products with strong AI strength and product iteration speed.
According to the arterial network, as of August this year, it is estimated that artificial intelligence will complete nearly 20,000 cases of lung cancer assisted screening every day, and nearly 200 top hospitals will be landed worldwide. Now it has become the doctor with the highest number of hits and the best product usability. And research and development of the best AI + medical imaging products. It is assumed that the extensive global practice of AI has an important impact on the medical imaging artificial intelligence industry.
Zhao Zilin, Chairman of China Medical Equipment Association, Chairman of the Radiology Branch of Chinese Medical Association, Jin Zhengyu, Director of Radiology Department of Peking Union Medical College Hospital, Chairman of the Radiology Branch of Chinese Medical Association, and Director of Radiology Department of Changzheng Hospital affiliated to Second Military Medical University, Liu Shiyuan, Chinese Physician President of the Association of Radiologists, Vice President of Beijing Friendship Hospital, Capital Medical University, Wang Zhenchang, Chairman of the Radiology Branch of Tianjin Medical Association, Director of the Department of Radiology, Tianjin Medical University General Hospital, Yu Chunshui, Chairman of the Medical Imaging Resource Association of the North American Radiology Annual Conference Eliot Siegel, member of the Japanese Ministry of Health, Labour and Welfare Medical AI Review Committee, Nakata Tatsuo, the State Council Development Research Center, the Ministry of Science and Technology, the British Embassy, ​​the Ministry of Commerce and other relevant leaders have delivered speeches. At the same time, the leaders of the more than 100 customers who have applied the technology on the line, as well as the leaders of the National Health and Family Planning Center, the Beijing Municipal Science and Technology Commission, and the Zhongguancun Venture Street, are from the global medical radiation. Experts in related fields such as information.
Chen Kuan, the founder of the technology, said, "Artificial intelligence, as the core driving force of the new round of industrial transformation, will further release the tremendous energy of previous scientific and technological revolutions and industrial changes. In the medical imaging industry, artificial intelligence can release more capacity from doctors. And value, effectively help quality medical resources, medical diagnostic technology sink to the grassroots level, enter thousands of households, and help solve the dilemma faced by China and even the world's classified clinics."
Imagine founder Chen Kuan
Gain insight into medical AI needs and anticipate setting industry benchmarks
The annual growth rate of medical imaging data in China is about 30%, and the number of doctors who can be diagnosed is far less than the growth of the number of images. For example, radiologists only have an annual growth rate of only 4.1%. At the same time, many radiologists in China need to watch tens of thousands of images every day, which is a serious imbalance between supply and demand. The application of artificial intelligence in the medical industry allows entrepreneurs to see hope. Through deep learning, the machine will complete the classification, target detection, identification and other work of the image, assist the doctor to complete the diagnosis, and the doctor's limited energy is given to the endless machine. .
At the meeting, Professor Wang Zhenchang, president of the Institute of Radiologists of the Chinese Medical Association and vice president of Beijing Friendship Hospital, said, “The biggest advantage of AI reading is better than manual. It is stable, efficient and reproducible. The machine is never tired, good at repeatability. Labor has just made up for the insufficiency of manpower. Through AI assisted screening products to complete the initial screening, the doctor's work pressure is greatly reduced, the "people + machine" collaboration makes the work more efficient, the doctor's work mode gradually changes, will become AI Beneficiaries. The sharing of Xu Maosheng, the Standing Committee Member of the Radiology Branch of the Chinese Medical Association, the Director of the Imaging Center of Zhejiang University of Traditional Chinese Medicine, and the Director of the Department of Radiology of the First Affiliated Hospital, fully affirmed the outstanding speed and sensitivity of the AI-assisted screening products. Advantage.
Nowadays, due to the low entry barrier of AI, there are various open source programs and open source data on the Internet, which has caused many companies to rush into it. What is a good AI product? How to define a good AI product? Zhao Weiguo, director of technology products, explained: "Robustness, safety and ease of use are necessary conditions for a clinical-level AI product. It is also a product concept that has been pursued all the time. A good AI product can make it easier for doctors. Accepted, conducive to use, must also maintain high stability and accuracy in different medical environments. Doctors with the help of the technology InferRead CT lung, the sensitivity to ground glass nodules and tiny nodules is extremely high , basically no missed diagnosis."
I think that Zhang Rongguo, dean of the Advanced Science and Technology Research Institute and vice president of technology, said: "The 5-year survival rate of early lung cancer can reach 90%, and AI will greatly enhance the cure rate of cancer." He shared the most advanced research and solution on CT lung. The protocol, based on the image data with pathological results, combined with the deep learning model of the surrounding tissue of the nodule and the basic imaging omics features, further optimized the scene and a more comprehensive analysis of the detected nodules.
Imagine Zhang Rongguo, Dean of the Advanced Science and Technology Research Institute and Vice President of Technology
AI medical image balance international medical supply and demand contradiction
Whether in developed or developing countries, the contradiction between supply and demand of quality medical resources and the unreasonable flow of patients are always two major medical problems in the world. In Japan, there are 52 MRIs and 107 CTs per 1 million people. In the face of a large number of imaging equipment, the talent gap is very serious. The introduction of AI will greatly ease the tension in Japan, and the quality of the report will be more comprehensive than before. Nakata, a member of the Medical AI Review Committee of the Japanese Ministry of Health, Labour and Welfare, and director of the Department of Imaging Diagnosis at the Hospital of Civic Medical University, Japan, praised: "I am very surprised that AI can achieve such great achievements. As early as 2017, I was invited to be invited to the National Strategic Special Zone of Japan. Science and technology subjects, this is the only Chinese AI company selected so far. “Salvador Pedraza Gutierrez, Dean of the Institute of Image Diagnostics in Girona, Spain, believes: “In the absence of a low-dose CT lung cancer early screening policy in Europe, Imagine AI A fast and effective lung cancer screening program from traditional X-ray images."
As Eliot Seigel, president of the Medical Imaging Resources Association of the North American Radiology Annual Conference, said: "In the next decade, the application of AI will lead the traditional medical imaging to truly digital, and it is necessary for AI and people to work together to meet the challenges brought about by medical changes. In the lung nodules During the screening process, the hypothetical product allows the doctor to meet the patient's needs in a short period of time."
And when the lung nodule products are maturing, all medical practitioners and think technology are thinking, where will the next step in AI medical imaging go? Imagine that science and technology have made corresponding explorations in the fields of fractures and strokes, and are associated with Beijing Tiantan Hospital affiliated to Capital Medical University, Zhongshan Hospital affiliated to Dalian University, Yantai Hospital of Shandong Province and the Second Affiliated Hospital of Zhejiang University Medical College. The hospitals carry out research cooperation, and the representatives of the cooperative hospitals share wonderfully at the meeting. The hospital and the enterprise hope that the multi-product line will jointly empower the medical imaging business.
At present, the global artificial intelligence industry is in the ascendant, whether it is a rookie in the industry or a large enterprise to strive to seize the market. As the earliest innovative company of AI medical imaging, Science and Technology has become a leader in medical imaging AI, and has adhered to the most advanced AI technology to solve the most livelihood problems. The product application sharing conference will also open a new journey of AI medical imaging, and is committed to changing the status quo of medical services.
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