Top AI Expert Professor Dinggang Shen Confirmed to Attend MTWF 2018 Medical Technology World Forum

Hosted by VCBeat, Eggshell Research Institute, and the Industry-Academia-Research Cooperation Coordination Department of the China High-Tech Industrialization Research Association“Infinity” – The 2018 World Forum on Medical Technology will be held at the Le Méridien Minhang, Shanghai from September 26 to 27.

Professor Dinggang Shen, Tenured Professor and Distinguished Professor at the University of North Carolina at Chapel Hill, Fellow of the American Institute for Medical and Biological Engineering (AIMBE), and IEEE Fellow, has confirmed his attendance at the “Infinity” – 2018 World Forum on Medical Technology.

[Character Introduction]

Co-CEO of Shanghai United Imaging Intelligence Healthcare Technology Co., Ltd. One of the earliest scientists in the world to conduct research on artificial intelligence in medical imaging, and the first to apply deep learning to medical imaging. Tenured Professor and Distinguished Professor at the University of North Carolina at Chapel Hill; Fellow of the American Institute for Medical and Biological Engineering (AIMBE); IEEE Fellow; Fellow of the International Association for Pattern Recognition (IAPR); recipient of China’s Thousand Talents Program. He has published more than 400 papers in internationally authoritative journals, with over 20,000 citations and an H-index of 82.

Professor Dinggang Shen believesSo-called AI or deep learning is merely a method for problem-solving; the method must serve the purpose of solving the problem.Researchers in this field cannot rely solely on deep learning; they must also master many classical methods that have been accumulated over decades. This is because no single method can solve all problems, and every approach has its inherent limitations. Furthermore, the conceptual framework should be problem-driven—identifying methods based on specific problems—rather than forcing problems to fit predefined methods.

Professor Dinggang Shen proposedThe core of AI imaging lies in collaboration, development depends on quality, and high-dimensional imaging is the direction for future growth.

On September 26, Professor Dinggang Shen, Tenured Professor at the University of North Carolina at Chapel Hill, will attend the “Infinity” – 2018 World Forum on Medical Technology, co-hosted by VCBeat, VBInsight, and the Industry-Academia-Research Cooperation Coordination Department of the China High-Tech Industrialization Research Association, to share insights on the application of deep learning in medical image analysis.

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[Conference Details]

We can now see that digital technologies such as artificial intelligence, robotics, 3D printing, and the Internet of Things are impacting various industries, with continuous technological innovation disrupting the healthcare sector.

With the introduction of two policies, namely the “Development Plan for New-Generation Artificial Intelligence” and the “Opinions on Promoting the Development of ‘Internet + Healthcare’,” capital has poured in frenetically, high-valued AI enterprises have emerged one after another, and commercialization pathways continue to be explored;

The “Healthy China 2030” Planning Outline was released, and three major health and medical data groups were established. The explosive growth in data, driven by declining costs of data acquisition through gene sequencing and wearable devices, has laid the scale foundation for big data and AI analytics.

As the application of robots in China’s healthcare sector gains increasing acceptance and becomes more widespread across various stages of diagnosis and treatment, medical robots—particularly surgical robots—have emerged as “high-demand products” within the robotics industry. Robotic systems are being increasingly deployed in hospitals, with domestic technologies steadily catching up with their foreign counterparts.

Medical 3D printing has entered a transitional phase from its initial to intermediate stage. Dental prosthetics and customized prostheses have already achieved commercialization and are experiencing rapid growth. Orthopedics has become a key battleground for market competition, attracting various enterprises to establish their presence. Breakthroughs have been made in organ and tissue experimentation, making human clinical applications promising.

In April this year, the National Health Commission released the "Standards and Specifications for Hospital Information Construction in China (Trial)," which clearly defined 21 application scenarios for IoT-based positioning and data monitoring. With the introduction of these standards, the direction of the IoT industry has become increasingly clear, and scenario-based applications are beginning to stand out;

In the genetics sector, tumor detection is poised for rapid growth, microbiomics is gradually maturing under policy guidance, and consumer genetic testing has entered the “20-yuan era.”

Technology innovation companies have begun to explore their own paths for application implementation, scaling from 1 to N...

The 2018 World Forum on Medical Technology, themed “Infinity,” will be held at the Le Méridien Shanghai Minhang Baolong Hotel from September 26 to September 27, 2018.

This forum will bring together domestic and international healthcare service providers, listed companies, financial institutions, and health-tech innovators with a core focus on technological innovation. Discussions will center on five key dimensions—policy, capital, data, technology, and commercialization pathways—exploring the commercial applications of five major technologies (AI, big data, robotics, 3D printing, and IoT, and genetic testing) within hospitals, pharmaceutical companies, and third-party healthcare service providers. The event will feature eight core forums covering over 80 hot topics, and will convene in Shanghai more than 80 industry leaders, 100+ investors, 300+ entrepreneurs, and 30+ media representatives to exchange insights and foster collaboration.

If you are a government official, healthcare practitioner, or industry professional focused on technological innovation in health and medicine—including executives from healthcare IT companies, medical device manufacturers, pharmaceutical firms, and insurance companies; industry investors; healthcare media professionals; and leaders of public or startup companies engaged in big data and AI-driven healthcare—this industry forum is tailor-made for “you.”

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