From December 17th to 18th, 2022, the “3rd China Medical Imaging AI Conference” sponsored by the China Medical Imaging AI Industry-University-Research-Application Innovation Alliance (CAIERA) will be grandly opened online.
With the theme of “AI breaks the ice, you and I go together”, this conference will discuss the clinical application practice and future of medical artificial intelligence products, and discuss the application scenarios, existing problems and challenges of artificial intelligence products in the Healthy China Action, artificial intelligence Product real-world data validation and other related issues.
As the strategic cooperative media of this conference, Leifeng.com reported the whole process.
At the beginning of the conference, under the auspices of Professor Xiao Yi, deputy director of the Department of Radiology and Diagnostics of Shanghai Changzheng Hospital, member of the Radiology Branch of the Chinese Medical Association, and Secretary-General of the Chinese Medical Association, Song Yaoxing, political commissar of the Second Affiliated Hospital of the Naval Military Medical University (Shanghai Changzheng Hospital), and China Industry-University-Research Cooperation Promotion Wang Jianhua, Executive Vice President of the Association, Zhu Qigao, Deputy Director of Shanghai Science and Technology Commission, Mei Jianping, Deputy Director of the High Technology Department of the Ministry of Science and Technology, Guo Shuyan, Deputy Director of Shanghai Food and Drug Administration (Xu Jinghe, Acting Deputy Director of the State Drug Administration), National Health Commission Deputy director Cao Xuetao made wonderful opening speeches respectively.
Song Yaoxing, political commissar of the Second Affiliated Hospital of Naval Military Medical University (Shanghai Changzheng Hospital)
Song Yaoxing, political commissar of the Second Affiliated Hospital of Naval Military Medical University (Shanghai Changzheng Hospital), delivered a speech.
He said that Shanghai Changzheng Hospital has a long history and profound cultural heritage. Since it was transferred to the Navy, it has seized the development opportunity of transformation and construction to promote the orderly development of discipline construction. As the epitome of the construction of Shanghai Changzheng Hospital, the Department of Radiology Diagnosis has formed distinctive features in lung cancer diagnosis, COPD diagnosis, and bone and joint diagnosis under the leadership of Director Liu Shiyuan, chairman of the Radiological Society Branch of the Chinese Medical Association.
In the past 5 years, it has won a number of fund projects and the first prize of provincial and ministerial scientific and technological progress, and simultaneously established an innovative cooperation and exchange platform for government, production, research, learning, and application, and actively promoted the clinical application and research of medical imaging artificial intelligence and radiology. The construction of the database has participated in the formulation of a number of relevant national standards, promoted the construction of the radiation database, and led the rapid development of the industry.
Song Yaoxing pointed out that looking forward to (the 3rd China Medical Imaging AI Conference) continuing the past and ushering in the future, it is necessary to make a summary exchange on the development of artificial intelligence in medical imaging in China in the past two years, and to look forward to the future and start again to promote medical AI for healthy China and healthy China. The people make a greater contribution.
Wang Jianhua, Executive Vice President and Secretary General of China Industry-University-Research Cooperation Promotion Association
Wang Jianhua, Executive Vice President and Secretary-General of China Industry-University-Research Cooperation Promotion Association, delivered a speech.
He mentioned that China Association for the Promotion of Industry-University-Research Cooperation, as a high-end innovation platform for cross-departmental, cross-regional, cross-industry, and interdisciplinary resource integration and cross-border integration, has made great efforts in the State Council, the Ministry of Science and Technology, the Ministry of Industry and Information Technology, and the Ministry of Education. With the support, it took the lead in supporting the establishment of the China Medical Imaging Artificial Intelligence Industry-University-Research-Application Innovation Platform, which gathered the leading field of medical imaging AI, integrated industrial resources, promoted the landing of industry products and the formation of standards, and achieved a stage sexual outcomes.
Wang Jianhua pointed out that we are currently in a critical period of transformation and high-quality development. At present, 75% of smart medical imaging products are jointly developed by AI companies and medical device companies, but it is far from enough to rely on leading companies. Deep integration is the breakthrough point. I hope that people from all walks of life can join the innovation platform of medical imaging artificial intelligence industry-university-research application, explore new models, new mechanisms, new methods, and new ways of in-depth cooperation between industry-university-research institutions, and make contributions to building an innovative country and a world-class scientific and technological power. contribute.
Zhu Qigao, Deputy Director of Shanghai Science and Technology Commission
Zhu Qigao, deputy director of the Shanghai Municipal Science and Technology Commission, said in his speech that the medical industry is entering a digital explosion period, and the combination of artificial intelligence and medical imaging is getting closer, especially the empowerment of artificial intelligence in the field of medical imaging. It plays an increasingly important role in disease diagnosis, stage treatment, and surgical plan formulation.
Shanghai Changzheng Hospital, as the earliest explorer in China to carry out the integrated development of artificial intelligence and medicine, under the leadership of Professor Liu Shiyuan, took the lead in the exploration of medical imaging artificial intelligence in the past four years, and established a medical imaging AI industry-university-research application with the support of all walks of life. The innovative cooperation platform has been recognized and strongly supported by all sectors of society.
He said, “In the future, we will continue to support the innovative development of medical imaging AI, carry out clinical verification of medical imaging AI products with a scientific attitude, and use advanced technology to provide patients with more accurate services.”
Mei Jianping, deputy director of the High Technology Department of the Ministry of Science and Technology
Mei Jianping, deputy director of the High Technology Department of the Ministry of Science and Technology, delivered a speech.
He said that artificial intelligence, as a strategic high-tech leading the future, will have an important and far-reaching impact on economic development, social progress, political economy, and international structure. At present, the Ministry of Science and Technology is actively implementing the strategic deployment of the Party Central Committee and the State Council. During the “13th Five-Year Plan” period, a major project of “Science and Technology Innovation 2030 New Generation Artificial Intelligence” was launched. As a typical application field, medical care has been focused on layout, and the construction of computing power infrastructure is actively promoted.
In the future, the interconnection, openness and sharing of computing centers, supercomputing centers, and data centers will be realized, and artificial intelligence inclusive computing power will be provided for technological innovation and industrial intelligent transformation. Make useful contributions to my country’s medical imaging artificial intelligence to seize the commanding heights of science and technology and cultivate new advantages in global competition.
Guo Shuyan, deputy director of Shanghai Food and Drug Administration
Guo Shuyan, deputy director of the Shanghai Food and Drug Administration, delivered a speech on behalf of Xu Jinghe, deputy director of the State Drug Administration.
He mentioned that the report of the 20th National Congress of the Communist Party of China described the grand blueprint for comprehensively building a socialist modern power. Promote the development of integrated clusters of strategic emerging industries, and build a number of new growth engines including new-generation information technology, artificial intelligence biotechnology, new materials, and high-end intelligent equipment. These regulations have pointed out the development direction and opened up the development path for the cause of medical imaging intelligence in my country.
In terms of medical imaging, the number of artificial intelligence imaging products continues to grow, and the localization process continues to accelerate. Breakthroughs have been achieved to varying degrees in the fields of chronic disease management, virtual assistants, surgical robots, and drug research and development. Looking forward to the future, the development prospects of artificial intelligence medical imaging in my country are bright and promising.
Therefore, at this stage, it is necessary to further improve the system of medical device regulations and standards, and continue to create an upgraded version and a modern version of the regulatory system for medical devices; it is also necessary to further deepen the reform of the review and approval system, promote the advancement of technical review guidance services, and speed up clinical urgently needed medical treatment. At the same time, we will continue to do a good job in the scientific research on the supervision of artificial intelligence medical devices, carry out research on the safety and effectiveness evaluation methodology of artificial intelligence medical device applications, and accelerate the construction of artificial intelligence covering various application scenarios and product technologies. The system of guiding principles for registration of medical devices, in conjunction with national industry encouragement and support policies, promotes better and faster clinical application of artificial intelligence medical device products.
Cao Xuetao, deputy director of the National Health Commission
Cao Xuetao, deputy director of the National Health Commission, said in his speech that with the accumulation and breakthrough of key elements such as algorithm computing power and data, artificial intelligence is accelerating the expansion of more application scenarios, and is constantly integrating and penetrating into various fields, driving the development of human society. Enter the intelligent era in an all-round way. As a key production factor and an important part of the digital economy, the imaging field has become the “vanguard” of the deep integration of artificial intelligence and industry.
The National Health and Medical Commission has been committed to promoting and promoting the development and application of artificial intelligence in medical imaging. In terms of top-level design, it has cooperated with the State Food and Drug Administration, the Ministry of Industry and Information Technology and other relevant ministries and commissions, and has issued a series of promotional development, resource construction, cooperation and exchange and demonstration applications Actively explore the path of independent innovation of artificial intelligence in medical imaging in China, comprehensively support the development of health care, and better serve the health of the people.
While the field is booming, we should also face up to and deal with the contradictions and challenges in the development process soberly, and actively solve practical application problems such as insufficient product coverage, insufficient stability, and product forms that cannot fully meet clinical needs. It is expected that the alliance and the upstream and downstream of the industry will work together to promote the rapid development of the industry and make greater contributions to the development of the national digital economy.
Radiation House platform launched 
The research and development of artificial intelligence in medical imaging is related to the future of the whole society and all mankind. This conference aims at the key issues in the current development, gathers the wisdom of many parties, and provides a comprehensive insight into medical imaging from various aspects such as basic research, clinical transformation, and industrial promotion. The cutting-edge progress of artificial intelligence and the challenges it faces, in-depth exploration of the potential of image data, and actively explore the road of independent innovation in the development of artificial intelligence in medical imaging in China, comprehensively support the development of health care, and better serve the health of the people.
It is precisely because of the original intention to contribute to “Healthy China” that the “Radiation Home Platform” came into being. The platform is jointly launched by Shanghai Kyushu Smart Medical Imaging Research Institute and China Medical Imaging AI Industry-University-Research-Application Innovation Alliance, including “data platform”, “academic platform”, “science popularization platform”, “doctor platform” and so on.
At this conference, Feng Xiaoyuan from Huashan Hospital Affiliated to Fudan University, Liu Shiyuan from Shanghai Changzheng Hospital, Peng Weijun from Cancer Hospital Affiliated to Fudan University, Tao Xiaofeng from Ninth People’s Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Cheng Yingsheng from Tongji Hospital Affiliated to Tongji University, Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine Wang Song, Wang Dengbin from Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Yan Fuhua from Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Wang Han from the First People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Gu Yajia from Cancer Hospital Affiliated to Fudan University, colleagues from Shanghai Jiao Tong University School of Medicine Yang Jun from the hospital, Zhang Lei from Shanghai Jiuzhou Smart Medical Imaging Research Institute, etc., participated in the opening ceremony of the Radiation Home platform as launching guests.
High-quality development of digital and intelligent radiology specialty comprehensive ability improvement action
Taking advantage of the launch of the Radiology Home platform, the China Medical Imaging Artificial Intelligence Industry-University-Research Innovation Cooperation Platform joined hands with industry associations to officially release the “Comprehensive Capacity Improvement Action for High-Quality Development of Digital and Intelligent Radiology Specialties”.
Among them, the first batch of healthy China Kyushu projects released and implemented in 2022-2023 include the following 6 items: Chronic Disease Early Screening Imaging Standard Publicity Project, Radiological Imaging Standard Database, Radiology Department All-round Capacity Improvement Project, Radiology Department Quality Control And standardize the Kyushu Tour Project, the Science and Technology Huiwanjia Project and the Image Explorer Project. These projects will promote the various units of the alliance to promote mature products and academics to the whole country, and help the rapid development of healthy China.
Among them, more than ten companies including Bayer, Siemens, Philips, United Imaging, General Electric, Canon Medical, and Huiying Medical have won the above awards, and Zhao Xi, Li Mao, etc. have won outstanding personal certificates for imaging explorers.
2022 Outstanding Contribution Outstanding Individual
2022 Outstanding Contribution Expert
“China Medical Imaging AI Development Report 2021-2022” new book released
China Medical Imaging Artificial Intelligence Development Report (2021-2022)
The subsequent release of the “Report on the Development of Artificial Intelligence in Medical Imaging in China (2021-2022)” brought this session to its climax.
At the beginning of the establishment of the China Medical Imaging AI Industry-University-Research-Application Innovation Alliance, imaging experts, scientific research experts and leading AI medical companies of the top three hospitals in the United Nations jointly drafted the first phase of the China Medical Imaging AI White Paper, which was officially released in March 2019.
After two years of precipitation, the third issue of the “Report on the Development of Artificial Intelligence in Medical Imaging in China (2021-2022)” released by this conference lasted for more than 6 months. After 4 rounds of revisions, 4 editorial committee discussions, more than 40 editors More than 200,000 words have been condensed into 13 chapters based on a large amount of research and discussion by the committee and more than a hundred editors. The multi-angle, multi-position, and multi-perspective reflect the latest changes in “politics, production, learning, research, and application.”
Liu Shiyuan pointed out that this monograph, first, reflects that China’s medical imaging AI is advancing with the times in academic research, and its scientific research output ranks first in the world;
The second is to explain that this field is in the ascendant, and the research hotspots of medical imaging AI continue to heat up;
The third is to prove that the standardized construction of medical imaging AI database is imperative;
The fourth is to see the micro-knowledge, which will help more people understand radiomics through medical imaging AI, so as to promote the collision and integration between different disciplines, and help the arrival of the era of precise diagnosis and treatment.
Liu Shiyuan, chairman of the conference: the alliance is implementing the “Indomitable Talent Plan”
Subsequently, the forum officially ushered in a keynote speech and three round table interviews. The keynote speech was hosted by Professor Zhang Zhiyong, the former vice president of Fudan University.
Professor Liu Shiyuan, chairman of the Radiology Branch of the Chinese Medical Association, chairman of the China Medical Imaging AI Industry-University-Research Innovation (Platform) Alliance, and director of the Radiology Diagnostic Department of Shanghai Changzheng Hospital, gave a keynote speech on “Thoughts on the Development of Medical Imaging AI”.
Professor Liu Shiyuan said that the current development status of medical imaging AI in China is healthy and active. From the perspective of registration review, as of December this year, the State Food and Drug Administration has approved 41 AI products related to medical imaging, of which 10 products have obtained CE and FDA certification, with richer product forms, better matching of clinical scenarios, and comprehensive workflow Covering, the State Food and Drug Administration will continue to approve some key projects, such as imaging AI related to cardiovascular and cerebrovascular diseases, chest diseases, diabetes, bone and joints, etc.
He further stated that AI medical imaging companies should speed up the construction of a vertical and horizontal business layout, continuously improve the clinical and commercial value of AI products, and form a disease-centered, intelligent and standardized clinical workflow.
At present, medical imaging AI is also facing some pain points, such as the shortage of core algorithm talents and compound talents, which leads to the imbalance between supply and demand, the standards and industry standards for a large amount of data labeling need to be solved urgently, and the capital Matthew effect makes it difficult for start-up companies to raise funds. At the same time, AI medical imaging The single business model of the auxiliary diagnosis system is also a normal problem at present.
Finally, Professor Liu Shiyuan said that in the future, we will continue to strengthen the integration of medicine and industry, promote early screening and early diagnosis, strengthen grassroots work, popular science promotion, international exchanges, etc., and promote the rapid development of medical imaging AI.
Especially in terms of personnel training, the alliance is currently constructing the “Indomitable Talent Plan”, which will successively establish a medical imaging university alliance, a medical-industrial interdisciplinary working committee, launch a county-level radiology director training plan, build a China Imaging Cloud Museum, and eventually build it into an empowered hospital The elite scientific research talents and the backbone teaching and research talents of grass-roots hospitals.
Round table with three main themes, discussing the collective wisdom and efforts of medicine, government and enterprises
In the opening ceremony of the 3rd China Medical Imaging AI Conference, a total of three roundtable forums were held, which was unique in the past two conferences.
The three round tables conducted in-depth dialogues on the three major themes of “Smart Hospital and Digital Imaging Department Construction”, “Multiple Perspectives on Imaging AI Implementation and Future Prospects”, and “Scientific and Technological Innovation, Smart Equipment Serving a Healthy China”.
Roundtable Forum on “Smart Hospital and Digital Imaging Department Construction”
On July 5 this year, the National Health Commission’s Capacity Building and Continuing Education Center issued the “Notice on the Publicity of the Review Results of the Project of the Radiological Image Database Construction Project”, marking the official start of the government-led systematic and standardized construction of the radiological image database.
In the first roundtable forum on “Smart Hospital and Digital Imaging Department Construction”, Zhao Hong, the founder of the health industry, served as the moderator of this session.
Yang Aiping, director of the Center for Capacity Building and Continuing Education of the National Health and Medical Commission, explained the value of building a radiological imaging database. As the new infrastructure of national health information, big data is promoted by major projects of digitalization and intelligent upgrading, and the value and application of databases have become increasingly clear.
Director Yang Aiping said that the next step will be to establish a comprehensive data collection, transmission, collection and storage system covering the entire business chain at the national level, formulate application specifications for the classification, grading, and domain division of health and medical big data, and promote the development of a number of public data sets. Publish to carry out safe, secure, and orderly use of data sets.
Wu Hong, Director of Medical Affairs of the Shanghai Health Commission, introduced the construction of Shanghai’s medical imaging platform from the regional level. He said that Shanghai has now promoted the interconnection, intercommunication, and mutual recognition of imaging studies in all public medical institutions based on the same standard. As long as the corresponding imaging quality control standards are determined, relevant medical institutions can conduct image review, which will help improve image quality. , reducing repeated examinations of patients will have a great promotion effect.
Fang Laiying, vice president of the Chinese Hospital Association, once served as the director of the Beijing Municipal Food and Drug Administration, the director of the Beijing Municipal Health and Health Commission, and the secretary of the party committee. Regarding the difficulty of charging for medical imaging AI, he suggested that when discussing the charging issue with relevant government departments, enterprises should Learn to “calculate the big account” from the perspective of the overall social medical expenses. The unit price of any new technology may be high, but the total cost to society must be reduced. In addition to emphasizing technological advantages, it is also necessary to be able to give enough cases to analyze, research and explain the value of AI in terms of the use of medical insurance funds and hospital cost control.
The first users of medical imaging AI are hospitals and doctors, and their attitude towards medical imaging AI is particularly important.
Chairman Jin Zhengyu of Union Medical College Hospital of China Radiologist Branch observed that there is still a certain degree of mismatch between AI products and clinical needs, and many companies still view the relationship between AI and doctors with an engineer’s thinking. When designing a product, an enterprise must identify the pain points of the service target. For example, what type of disease is the doctor specializing in, whether it is a doctor in a tertiary hospital or a doctor in a grassroots hospital, these are all factors that need to be taken into consideration.
Shanghai Tongji Hospital has introduced a variety of medical imaging AI products in clinical practice, and has also launched research cooperation with a number of medical imaging AI companies.
Cheng Yingsheng, president of Tongji Hospital, said that Tongji Hospital can gradually promote AI products to medical groups and medical alliances through telemedicine in the future. This is a good development direction, but it involves the requirements of overall information construction and the development of AI products There is still a lot of work to be done on the issue of standardization and normalization.
Zhang Zhiyong, former vice president of Fudan University, put forward suggestions on promoting medical-industrial integration from three perspectives: top, middle, and grassroots. He said that the departments that set research topics should be designed from the top level, so that the research direction of the topics is more inclined to the field of medical imaging AI; A smooth communication platform between doctors and AI technicians; front-line doctors and technicians at the grassroots level should also open their hearts to promote mutual communication and dialogue with the core of solving clinical problems.
“Multiple Perspectives on Image AI Implementation and Future Prospects” Roundtable Forum
The second roundtable discussion centered on the implementation and future of medical imaging AI.
Professor Liu Shiyuan, chairman of the Radiology Branch of the Chinese Medical Association, said that starting from the actual clinical needs, truly promising AI products need to solve multi-task and multi-dimensional problems based on clinical scenarios, and output overall inspection results based on parts and organs. For example, based on chest CT, it is possible to issue a lesion report of all organs including the cardiopulmonary mediastinal chest wall, which is the clinical expectation for AI products.
Regarding the charging of AI products, Professor Liu Shiyuan believes that AI charging is affected by various factors, and all parties are actively exploring. At present, my country has not yet clarified the charges for digital film and doctor’s diagnosis. The establishment of these two payment habits is precisely the prerequisite for the realization of AI product charges. Some provinces and cities have taken the lead in charging for these two services, and the relevant experience needs to be visited and discussed by everyone to provide a basis for decision-making departments.
AI products have broad application prospects in grassroots medical institutions, but there are great challenges in implementing them at the grassroots level. Professor Liu Shiyuan mentioned that the survey of county-level medical institutions shows that 70% of the county-level medical institutions have a demand for AI products, but they do not have enough funds to invest in purchasing them. This is a problem that needs to be solved in the future. From the perspective of the society, the society is promoting academic support and resource sinking in a planned way, and introducing AI products to the grassroots through interconnection and intercommunication.
Gong Xiangyang, director of the Zhejiang Provincial Radiation Quality Control Center, said that Zhejiang Provincial Hospital currently has more than a dozen AI products in use, and these products help the hospital’s clinical and management work to a certain extent. However, the gap between AI products and clinical needs is not in technology, but in the choice of application scenarios, service models, AI company’s profit model, and between the hospital’s valuation of AI products and the company’s own valuation There is also a huge gap. Take AI products for rib fractures as an example. The products are very useful, but the hospital may have concerns about the high price.
Director Zheng Jie, the leader of the DRG Payment Technology Steering Group of the National Medical Insurance, believes that the current contradiction about AI product charges lies in the lack of a clear cost accounting, and it is impossible to clearly explain the machine depreciation fee, imaging diagnosis fee, and AI usage fee. Whether the product should be a separate item is in dispute. The question needs to return to how to establish a cost accounting system in China. Only under the premise of establishing a cost accounting system can more support be given to the development of medical imaging AI in the future.
Shanghai Shenkang Hospital Development Center is the main body of investment, operation, management and medical management of 36 municipal public hospitals in Shanghai. It has rich experience in hospital data management and application development. Shen Bing, director of the Medical Business Department of Shenkang Hospital Development Center, said that the application of AI in medical scenarios is relatively mature. Against this background, if hospitals do not closely integrate AI and medicine, they will eventually be abandoned by this era. In actual work, the Shenkang Hospital Development Center has specially established a clinical research promotion development center, a large part of which is combined with AI technology to set up a platform connecting the hospital end and the enterprise end, so that hospitals and enterprises can match each other with suitable research subjects and clinical trials.
Zhang Denghai, vice president of Shanghai Pudong New Area Gongli Hospital, shared the actual application of AI products in hospitals. Vice President Zhang Denghai said that after several years of AI products being implemented in hospitals, it can be summed up as “trust is increasing and worries have emerged”. Aspects of concern include that doctors’ dependence on AI is increasing, and this is likely to be detrimental to the growth of young doctors. In terms of application status, AI products now mostly imitate human intelligence, but there is another type of intelligence that can bypass human thinking and information processing methods to output new models. This kind of “non-human artificial intelligence” deserves great attention.
“Science and Technology Innovation, Smart Equipment Serving Healthy China” Roundtable Forum
The third roundtable forum invited traditional imaging equipment manufacturers and cutting-edge AI players to discuss the empowerment and application of imaging technology from the perspective of their respective enterprise deployments.
Chen Jinlei, vice president of GE Healthcare China and general manager of GE Healthcare Imaging Division, said that GE Healthcare has provided innovative services to meet the needs of the grassroots, and built a smart service center in the county. Train these 4 major centers to provide better services for the grassroots. GE Healthcare has also put forward a new goal in terms of strategy. In the future, it will make domestic innovations in China. In addition to the equipment itself, the products launched in the future must have 100% remote digital and intelligent functions to fully serve the first-line clinical needs.
Kong Fa, vice president of Philips Greater China and head of marketing and medical affairs, introduced that hardware, software and AI are inseparable. Philips has three principles when choosing AI innovation companies, including meaningful innovation close to clinical needs and long-term deep cultivation. The application development and investment in a certain clinical scenario must have a global perspective, and must have a sense of social responsibility. Partners need to be able to pay attention to the actual needs of patients and clinicians.
Chen Lifeng, general manager of Siemens Healthcare Greater China’s Digital Healthcare Business Department, introduced the differentiated positioning of Siemens’ digital healthcare. He said that Siemens Healthcare has made a lot of innovations in digital healthcare and artificial intelligence, and many smart technologies have been integrated with equipment to create a smart scanning platform. In terms of localization strategy, in addition to continuously increasing its R&D capabilities, Siemens is committed to creating an innovation ecosystem that cooperates with top domestic medical institutions, scientific research institutions, and enterprises, hoping to use this ecosystem to accelerate the incubation and implementation of research.
Mao Xinsheng, chairman of Shukun Technology, shared the company’s experience from the perspective of product scenario selection. He believes that practitioners should not regard medical AI as a hammer and everything is a nail, but should sit down with doctors to understand their work scenarios and pain points. In fact, there are many repetitive components in the work of doctors. How to use data and algorithms to solve these repetitive and heavy tasks, and integrate and optimize the process, is the value of AI.
Zhou Xiang, co-CEO of United Imaging, explained the unique landing model adopted by United Imaging. He said that the multi-dimensional implementation of AI is very important. The layout of United Imaging Intelligence starts from the full stack and full spectrum. It does not choose to break through a single disease, but must do the whole thing. With the support of United Imaging Group, United Imaging can implement software, hardware, cloud, edge side, mobile terminal, vehicle, etc. This is one of the advantages of United Imaging in terms of layout.
In the research and development process of AI products, hospitals and doctors are indispensable roles. Chai Xiangfei, CEO of Huiying Technology, shared the company’s experience in cooperating with hospital doctors on product development. He believes that to achieve long-term cooperation with hospital doctors, it must be supported by scientific research value, because the cycle of realizing property rights is very long. Hospitals and doctors Not necessarily patient enough to wait. Therefore, this collaborative research must be something that both parties want to do together, and it can continue to produce output in stages, including the output of papers, funds, and patents.
After the opening ceremony and the three round table dialogues, various sub-forums came one after another.
On the 17th and 18th, the conference will continue to carry out “Healthy China and Smart Imaging Development Prospects”, “Healthy Development of Medical Industry-University-Research Cooperation”, “Artificial Intelligence Clinical Interaction Forum and Nervous System Application of Industrialization Status”, “Artificial Intelligence Clinical Interaction Forum “Head and Neck Application of Industrialization Status”, “Artificial Intelligence Clinical Interaction Forum and Industrialization Status of Bone, Joint and Breast”, “AI Pathfinder + Hui in Kyushu Demonstration Project Exhibition”, “Smart in Kyushu Demonstration Project Exhibition” , “PostRSNA2022 Imaging Equipment New Technology Reporting Conference (Shanghai Station)”, “2022 Development Report New Book Release Forum” and dozens of parallel forums.
For example, “AI Pathfinder + Hui in Kyushu Demonstration Project Exhibition”, “Smart in Kyushu Demonstration Project Exhibition”, etc., were set up for the first time after the first conference in 2018, and the founders of leading AI companies were invited to share their entrepreneurship The process and feelings, answering questions from the media.
On the other hand, accept case applications submitted by various companies and research institutes, give speeches and answer judges’ questions at AI conferences, and share the great changes that AI products have brought to clinics, grass roots, and patients.
Since many judges in the jury came from relevant departments of the hospital, they put forward direct and sharp on-site inquiries and guidance around the company’s products and cases, and put forward valuable opinions on the company’s product development and commercial implementation, which was brilliant.
The first-day forum with a dense agenda and gathering of big names set the tone for this conference, and also fully highlighted that “AI ice breaking” requires participants from the upstream and downstream of the industry chain to jointly relay and plan for the future.
Since then, Leifeng.com will continue to output wonderful reports from each sub-forum, so stay tuned for more detailed reports and expert interviews.
This article is reproduced from: https://www.leiphone.com/category/healthhai/cTFpm1ZxMaxYgL5r.html
This site is only for collection, and the copyright belongs to the original author.