Investing in AI Over Real Estate: How AI-Powered Medical Imaging Is Transforming Healthcare

The annual “Two Sessions” have concluded successfully, with artificial intelligence (AI) emerging as a focal point of public attention and hailed as the next major trend in the internet industry. Notably, during the 2017 Two Sessions, “artificial intelligence” was included in the Government Work Report for the first time, signaling its elevation to a national strategy and its role as a new engine for economic growth. It is worth noting that the previous concept featured in the Government Work Report was “Internet Plus,” which ushered in an entirely new era.

Data provided by Huiyi Huiying shows that China's artificial intelligence (AI) market size grew rapidly in 2016, exceeding RMB 23 billion for the full year, and is expected to reach RMB 38.1 billion by next year. The global AI market size is projected to surpass RMB 100 billion by 2020. Clues can also be seen from capital investment data: according to Venture Scanner, as of last November, a total of 1,485 AI companies worldwide had raised a combined USD 8.9 billion. On a global scale, internet and technology giants such as Apple, Amazon, Google, Microsoft, and BAT (Baidu, Alibaba, and Tencent) have already laid out their AI strategies years ago.

If 2016 was Year One of artificial intelligence, then 2017 will be Year One of AI industrialization. Business models built on AI technology will give rise to entirely new paradigms and ecosystems, with “AI+” emerging as a new trend; for instance, “AI+ Healthcare” offers vast potential for innovation.

In fact, artificial intelligence has been widely applied in the healthcare sector. From the perspective of application scenarios, it is mainly divided into 11 fields: virtual assistants, medical imaging, drug discovery, nutrition, biotechnology, emergency room/hospital management, health management, mental health, wearable devices, risk management, and pathology.

Among these 11 fields, the integration of artificial intelligence with medical imaging to assist and even replace physicians in image interpretation has become a hotspot in the digital healthcare industry. Medical imaging generates massive amounts of data, which can sometimes overwhelm even experienced clinicians. Interpreting medical images requires extensive accumulation of professional expertise, and the training cycle for radiologists is relatively long. In contrast, artificial intelligence can outperform specialist physicians in both detection efficiency and accuracy, while also reducing the rate of human error.

In summary, “AI+” is bringing about a disruptive transformation to the healthcare sector. It is not merely a technological innovation, but also a revolution in healthcare productivity, creating a vast incremental market with boundless potential. Furthermore, it is poised to accelerate structural reforms in healthcare and reshape the ecosystem of medical services.

In this context, byOrganized by Huiyi Huiying; Co-organized by Intel, BlueRun Ventures, China Telecom, and Qixi MedicalThe “Smart Future · Frontier Summit on Medical Artificial Intelligence” will be held in Beijing on March 25. As the first premier event of 2017 dedicated to cutting-edge artificial intelligence, the summit has invited leaders from the Ministry of Health, top international AI experts, directors of renowned hospitals, academic leaders, and prominent figures in venture capital and investment. These industry experts and leaders will jointly explore the deep integration of frontier AI technologies with the healthcare industry, aiming to deconstruct new directions for future medical AI from specialized and global perspectives. In addition, the world’s first intelligent DR (Digital Radiography) system, the first such device developed in China, will be unveiled at the conference.

No Substance, No Meeting. To facilitate more effective brainstorming during the conference, the organizer, Huiyi Huiying, has invited numerous distinguished guests from both China and abroad. Here is a preview of the valuable insights they will share.

Zhang Qin

Member of the National Committee of the Chinese People's Political Consultative Conference

Honorary Member of the China Association for Science and Technology

Member of the National Committee of the Chinese People's Political Consultative Conference, Honorary Member of the China Association for Science and Technology, Academician of the International Nuclear Energy Academy, Director of the Professional Committee on Uncertain Artificial Intelligence under the Chinese Association for Artificial Intelligence, Professor at the Institute of Nuclear and New Energy Technology, Department of Computer Science and Technology, and Department of Engineering Physics of Tsinghua University, Professor at the School of Computer Science and Engineering of Beihang University, Professor at the School of Software of Beijing Institute of Technology, Professor at the Intellectual Property Research Institute of Xiamen University, and President of the Tsinghua University Postdoctoral Alumni Association. Former Deputy Secretary of the Party Leadership Group, Vice Chairman, and Secretary of the Secretariat of the China Association for Science and Technology.

Zhao Zilin

Chairman of the China Association of Medical Equipment

Former Director of the Department of Planning and Finance, Ministry of Health

Wang Xi

Director, Big Data Center, Tsinghua University Strait Research Institute

Former Positions:

Chairman of the Silicon Valley Chapter, AAMA

Chairman of the Board, AAMA Beijing Yajie Chamber of Commerce

Tsinghua Entrepreneurs Association, Siyuan Committee

Tsinghua University Shuimu Tsinghua Council

Wang Xi co-founded the Asia America Multi-Technology Association (AAMA), the Huayuan Technology Association of Silicon Valley, the Tsinghua Entrepreneurs & Executives Club, and the Tsinghua University Siyuan Leadership Development Program. Wang Xi was once described by foreign media as “the first Chinese international student to knock on the door of the U.S. stock market.” He graduated from the Department of Automation at Tsinghua University in 1985 and went to the United States for further studies in 1987. In 1995, he co-founded the software company Viador Inc. in Silicon Valley. The company went public on the NASDAQ on October 26, 1999, and was ranked among the top ten of the “Top 50 Fastest-Growing High-Tech Companies in Silicon Valley in 2000.” Yahoo, another company founded by ethnic Chinese, was also included on this list that year.

Xing Lei

Stanford University Tenured Professor

Director, Department of Medical Physics, Stanford University

Distinguished Professor at Stanford University and Chair of the Department of Medical Physics, Stanford School of Medicine. He has over 25 years of research experience in medical imaging, radiation oncology, and bioinformatics. He also serves as an Adjunct Professor in the Departments of Electrical Engineering, Molecular Imaging Program, Biomedical Engineering, Bioinformatics, and Bio-X at Stanford University. He has published more than 250 papers in the field of medical imaging and has secured major research grants from the NIH, Department of Defense, NSF, and ACS. He is a Fellow of the ACS, AAPM, RSNA, and WMIC.

At the conference, Xing Lei will share the most cutting-edge research in the field of global artificial intelligence (AI)-powered image-guided radiotherapy, and provide a scholar’s perspective on the opportunities and challenges associated with integrating AI with medical imaging.

Li Yadong

General Manager, Intel Healthcare and Life Sciences Division, Asia-Pacific Region

Li Yadong currently serves as the General Manager of Intel’s Healthcare and Life Sciences Group for the Asia-Pacific region, with full responsibility for the group’s strategic planning, business development, and technical solutions in the region.

Xiang Huangmei

Postgraduate from University of Science and Technology Beijing; Deputy General Manager of China Telecom Corporation Limited, Beijing Branch; Corporate Internal Trainer of China Telecom Group. He leads and oversees Beijing Telecom’s government and enterprise customer services, cloud computing and IDC operations, system integration and ICT services, campus market initiatives, and regional local telecommunications businesses.

Chen Weiguang

Partner at BlueRun Ventures

Chen Weiguang holds a Bachelor’s degree in Electrical Engineering from Nanyang Technological University, Singapore, and an MBA from IMD International Institute for Management Development in Lausanne, Switzerland. He joined BlueRun Ventures in 2001 as a Partner based in Beijing, focusing on investments in the TMT and high-tech sectors.

Mr. Chen Weiguang currently serves as a board member of Shanghai PPLive Media (PPLive), Zhongtian Lianke, Pica (Zhongzhong Wuxian), Ganji.com, 3i Optoelectronics Equipment, Huoyue Media, and Kuihe Precision Electronics. He previously served as a board member of Kilopass and SiliconBlue. Prior to joining BlueRun Ventures, Mr. Chen was the Director of Global Network Services at Singapore Telecommunications and held management roles in computing and network systems engineering at IBM.

Wang Xinjun

Party Secretary of the Fifth Affiliated Hospital of Zhengzhou University

National Committee Member of Neurosurgery, Chinese Medical Association

Member of the National Trauma Group

M.D., Professor, Chief Physician, Doctoral Supervisor; Vice Chairman of the Neurosurgery Committee and Leader of the Neurotrauma Group of Henan Province; Director of the China Anti-Epilepsy Association, Vice Chairman of the Epilepsy Specialist Branch of Henan Province, and Director of the Center for Standardized Epilepsy Treatment in Henan Province; Standing Committee Member of the Rehabilitation Management Committee of the Chinese Hospital Association and Chairman of its Henan Provincial Chapter; Editorial Board Member of ten journals, including the *Chinese Journal of Neurosurgery (English Edition)*, *Chinese Journal of Clinical Physicians*, and *Chinese Journal of Brain Diseases and Rehabilitation*.

Zhou Zhenyu

Senior Director, Clinical Science, Philips Health Technology

Dr. Zhenyu Zhou has served as a Research Fellow at the University of Florida, an Associate Research Scientist at the New York State Psychiatric Institute, and a Research Fellow at the Magnetic Resonance Research Center of Columbia University. His primary research interests include magnetic resonance image processing, magnetic resonance physics and optical analysis, pulse sequence design for magnetic resonance imaging, and data mining.

Zhou Zhenyu leads the Philips Medical Research Team, with primary research interests in magnetic resonance image processing, functional MRI and optical analysis, pulse sequence design for magnetic resonance imaging, and data mining. He has published more than 50 papers in internationally renowned journals and at major international academic conferences.

Zhang Xiumei

Vice General Manager, Wanfang Data Co., Ltd.

Master of Molecular Genetics; Ph.D. candidate in Information Science at Renmin University of China; Master’s Supervisor at the Institute of Scientific and Technical Information of China (ISTIC); Deputy General Manager of Beijing Wanfang Data Co., Ltd.; Founder of *Digital Library Forum*; Founder of Wanfang Medical Network; Editorial Board Member of *Journal of Medical Informatics*; Council Member of the Competitive Intelligence Branch of the China Society for Information Studies; Committee Member of the Telemedicine Informatization Professional Committee of the Chinese Health Information Association; Committee Member of the National News and Publication Information Standardization Technical Committee; Executive Council Member of the Traditional Chinese Medicine Information Society of the China Association of Chinese Medicine; Executive Council Member of the Information Professional Committee of the World Federation of Chinese Medicine Societies; Member of the China Smart Health Industry Alliance; Committee Member of the Evidence-Based Medicine Branch of the China International Exchange and Promotive Association for Medical and Health Care. 

Huang Huaping

General Manager of Qixi Medical

Master of Engineering and Off-campus Supervisor at the School of Management, Jinan University; Project Review Expert for the Zhuhai Science and Technology Bureau; Executive Director of the China Association of Medical Equipment; Member of the General Radiology Special Committee under the China Association of Medical Equipment.

With 20 years of experience in the R&D and manufacturing of large-scale digital medical equipment, as well as the R&D implementation, marketing, and consulting services for healthcare informatization projects. Certified as a TÜV Rheinland Internal Auditor, Senior Project Manager by the National Development and Reform Commission (NDRC), and Microsoft Certified Master Architect.

Chai Xiangfei

Founder and CEO of Huiyi Huiying

Ph.D., a leading expert in medical imaging artificial intelligence in China. With over 10 years of interdisciplinary research and engineering experience in the fields of medical imaging AI, image processing, and data analysis. Studied and worked at three world-renowned medical imaging institutions: the Cancer Center at Stanford University in the United States, the Netherlands Cancer Institute, and the University Hospitals Leuven in Belgium, mastering core technologies in medical image segmentation, recognition, analysis, and deep learning. Published more than 10 papers in international journals, and has led the application for multiple domestic and international patents as well as major scientific research projects funded by the Ministry of Science and Technology.

Founded Huiyi Huiying in 2015, the company has built a digital, mobile, and intelligent platform for medical imaging and tumor radiotherapy by leveraging internationally leading cloud computing, big data, and artificial intelligence technologies. It has developed an AI-powered intelligent imaging screening system, a missed-diagnosis prevention system, and AI-assisted diagnosis and treatment systems that deeply integrate imaging data into the management of specific diseases, including tumors, cardiovascular conditions, and acute abdominal disorders.

As of 2017, Huiyi Huiying had completed two rounds of early-stage financing totaling over RMB 50 million from Shuimu Yide and BlueRun Ventures. Currently, Huiyi Huiying is recognized as a National High-Tech Enterprise. In 2017, it was the only medical imaging artificial intelligence company selected for the “Top 100 AI Enterprises of 2016.”

Guo Na

Huiying Medical Partner

Holds both bachelor’s and master’s degrees from Tsinghua University, and studied abroad at the University of Melbourne under a government-sponsored program. Member of the Young TEEC (Young Committee of the Tsinghua Entrepreneur & Executive Club) and Director of the Tsinghua Siyuan Alumni Association. Has maintained a long-term focus on the healthcare and medical sector. Previously worked at The Nixon Center, a Washington D.C.-based think tank in the United States, and served as Sales Director for the International IT and Internet Industry within the Government and Enterprise Customer Department of China Telecom Beijing Branch, providing services to global IT and internet companies such as Google, Amazon, Apple, Intel, and Microsoft. In 2015, co-founded Huiyi Huiying, a startup specializing in big data and artificial intelligence for medical imaging.

Huiyi Huiying continues to build a win-win ecosystem, having onboarded nearly 400 medical institutions, including dozens of Grade-A tertiary hospitals such as Peking University Third Hospital and Beijing Cancer Hospital, as well as a series of high-end chain healthcare providers. Adhering to the principles of comprehensive resource integration and mutual benefit, Huiyi Huiying has established strategic partnerships with Intel, China Telecom, China Unicom, Alibaba Cloud, Jointown Health, and other leading companies and teams across multiple dimensions—including healthcare, IT, cloud computing, big data, and artificial intelligence—to foster mutual support and shared growth.

The clarion call of artificial intelligence has sounded; the first premier AI conference of 2017 is about to commence. Let us gain insights into the future and immerse ourselves in the field of artificial intelligence!

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