AI+Medical has been driven by the general trend. Virtual assistants, medical imaging, auxiliary diagnosis, disease risk prediction, drug mining, health management, hospital management, and auxiliary medical research reports have gradually introduced AI technology. In recent years, the development of AI medical care at home and abroad has been continuously improved. On August 31, 2018, the AI+ Medical Sub-Forum, one of the important forums of “2018 (Shanghai) China Artificial Intelligence Exhibition and OFweek (Second) Artificial Intelligence Industry Conferenceâ€, was successfully held in Shanghai. This special forum focused on the application of AI medical technology and discussed the difficulties and challenges encountered in the commercialization of AI medical technology. At this AI Medical Forum, Academician from the International Academy of Medical and Biological Engineering/IEEE FELLOW/Hong Kong City University Biomedical Engineering Professor Zhang Yuanting, Shanghai University of Traditional Chinese Medicine Affiliated Shuguang Medical Radiology Director Zhan Songhua, Yitu Medical Senior Director Dou Yumei, 3M China Xie Yingwei, Product Development Technical Manager of the company, Qian Xiaohua, Special Research Fellow, School of Biomedical Engineering, Shanghai Jiaotong University, Tian Guangye, Director of Digital Imaging of Hisense Medical, and Zhang Yue, Director of Strategic Thinking, delivered a wonderful speech, and worked with industry elites on AI+ medical technology applications. Discussion and exchanges attracted nearly 500+ medical professionals to participate in the event, and the audience was packed and the popularity was overwhelming. Zhang Yuanting: Application scenarios and major challenges of artificial intelligence in the field of health care Fellow of the International Institute of Medical and Biological Engineering / IEEE FELLOW / Professor of Biomedical Engineering at the City University of Hong Kong Zhang Yuanting Academician of the International Institute of Medical and Biological Engineering/IEEE FELLOW/Hong Kong City University Professor of Biomedical Engineering Zhang Yuanting believes that human-computer integration has become the mainstream of future development of intelligence, and health engineering is based on early prevention, early prediction and early intervention of major diseases. The ultimate goal of the molecular discipline of the chemistry to the discipline of systems chemistry is to combine the current scientific engineering, medical integration and human health. At present, major diseases account for a high proportion in the world, because the current basic research in technical engineering is placed in the late stage of pathology. Academician Zhang said that to achieve human-computer integration, the first problem must be to solve the problem of high disease incidence in the future, and the future. The AI ​​healthcare industry should start with early predictions and early intervention. Zhan Songhua: Difficulties and Challenges in Clinical Application of Imaging Medical Artificial Intelligence Zhan Songhua, Director of Radiology, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine AI is so hot, can AI medical imaging replace the career of imaging physicians? Zhan Songhua, director of the Department of Radiology of Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine, believes that current AI medical images can only provide data on cold ice and ice, and can not provide humanistic care for patients. Dealing with patients, interacting, listening, comforting and caring are all humanities. Doctors, who are sensible, challenging, and temperature-like, are clinical medicine. People need to communicate. No matter how AI medical images develop, don't expect to replace radiologists. Dou Yumei: The Industrialization Process and Prospect of AI Medical in Exploration Dou Yumei, Senior Director of Yitu Medical In the application of medical AI, the practice of landing and the commercialization of products are the focus of the future work of Etu Medical Technology . Senior Director Dou Yumei launched the clinical research intelligent solution of the disease library from the cases of intelligent auxiliary diagnosis systems, and the government supports it now. Under the financing, through the intelligent medical image-assisted diagnosis, Internet + smart medical, medical big data intelligence, the realization of the AI ​​medical application field, promoted the development of product commoditization. Xie Yingwei: Challenges and Countermeasures in the Design of Smart Wearable Medical Products Xie Yingwei, Product Development Technology Manager, 3M China Ltd. The mobile medical market is a growing and growing emerging market that can improve the daily lives of each of us. In many current mobile medical products , the design and technology of the products themselves can support their own long-term continuous work, while facing intelligence. The challenges encountered in the design of wearable medical products, 3M China Co., Ltd. responded to the material technology and launched medical tape that can be in contact with the skin. Xie Yingwei, product development technology manager, said that 3M's vision is to use technology to promote the industry. The products are prosperous and innovative. In the face of the skin sticking challenge faced by the skin for a long time in contact with the product, 3M medical raw material technology is easy to pass, and truly make friends with the skin. Qian Xiaohua: Medical imaging information system helps to assist in detection, diagnosis and exploration Qian Xiaohua, Ph.D. Supervisor, Special Research Fellow, School of Biomedical Engineering, Shanghai Jiaotong University In the aspects of image processing and machine learning, computer-aided diagnosis and surgical planning, the biggest academic feature is the ability to combine multi-disciplinary methods such as artificial intelligence, mathematical modeling and biological information into medical image performance, Shanghai Jiaotong University Qian Xiaohua, a doctoral supervisor of the special researcher of the School of Medical Engineering, introduced the application of medical imaging information system in assisted detection, diagnosis and exploration through several cases, and gave suggestions for solving the difficulties in clinical practice. He said that Shanghai traffic is currently present. The University of Biomedical Engineering's research direction is to study intelligible deep learning models. Tian Guangye: AI opens a new model of digital medical innovation Tian Guangye, Director of Digital Imaging, Qingdao Hisense Medical Equipment Co., Ltd. The medical health field is considered to be one of the most promising areas for artificial intelligence, but to achieve the true landing of artificial intelligence, we need more innovative application scenarios. Tian Guangye, director of digital imaging of Qingdao Hisense Medical Equipment Co., Ltd., analyzed the elements of artificial intelligence technology, and classified the companies currently in contact with AI medical care, and answered how Hisense Medical is in the AI ​​field driven by the new model of digital medical innovation initiated by AI. The practice of solving the difficulties encountered in AI medical treatment. Zhang Yue: Healthy dual drive to create a multimodal AI medical brain Deep Thinking Strategic Operations Director Zhang Yue In order to solve the current situation of cervical cancer screening, the screening rate is low, sensitivity, specificity is poor, medical resources are not balanced, medical AI products are costly, and landing is difficult. Human-computer interaction engine technology, developed AI cervical pathology cytology-assisted screening robot iDeepWise. iDeepWise realizes TCT cervical cytology screening and cervical cytology-assisted diagnosis through deep learning, migration learning and other artificial intelligence technologies, thereby improving the efficiency of cervical cancer screening, reducing the workload and work intensity of pathologists, and effectively reducing misdiagnosis. Missed diagnosis rate. Although AI medical care can't achieve real landing, and there will be many problems in the development of commercialization, in the process, industry people will discuss and discuss together, and accelerate the commercialization of AI medical treatment. The guests of this forum are finished. After the wonderful speech, the audience also had an in-depth interaction with the experts. Finally, the AI+ Medical Forum came to a close with everyone's recollection and the enthusiastic applause of the audience. OFweek will continue to provide a platform for exchanges and exchanges for people from all walks of life. Interested friends can continue to pay attention to the "2018 China (Shanghai) Artificial Intelligence Exhibition. "More exciting content is expected to follow the "OFweek (2nd) China Artificial Intelligence Industry Conference Special Report". The three-day 2018 China (Shanghai) International Artificial Intelligence Exhibition will officially end on the afternoon of September 1. For those who have not yet arrived, they have missed the AI ​​Technology Forum and the Nine Theme Forums. The last day of the exhibition will be Become a day not to be missed! More than 300 companies and nearly a thousand artificial intelligence products will still stick to their posts, just waiting for your arrival! Exhibition address: Shanghai International Sourcing Exhibition Center Nearby subway: Line 2 (Lushanguan Road Station) Nearby bus stops: Daduhe Road, Guangfu West Road Luding Road, Yunling East Road
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