How Medical Robots Can Harmoniously Coexist with Humans: Insights from Academician Yang Guangzhong

How Medical Robots Can Harmoniously Coexist with Humans: Insights from Academician Yang Guangzhong

Leifeng Network: The CCF-GAIR (Global Artificial Intelligence and Robotics Summit), hosted by the China Computer Federation (CCF) and fully organized by Leifeng Network and The Chinese University of Hong Kong (Shenzhen), will be held from July 7 to July 9 in Shenzhen.

CCF-GAIR provides a broad platform for academic and industry experts from home and abroad to exchange ideas, both macro and micro, on global artificial intelligence trends and the practical application details of AI in various vertical fields.

Continuing the previous conference’s lineup of top guests, this year’s CCF-GAIR 2017 will welcome more heavyweight experts from the AI and robotics industry. In the coming days, Leifeng Network will gradually release guest introductions. Today, we introduce Academician Yang Guangzhong, a Fellow of the Royal Academy of Engineering and Director and Co-founder of the Hamlyn Centre.

How Medical Robots Can Harmoniously Coexist with Humans: Insights from Academician Yang Guangzhong

Successful and Devoted to the Motherland

In October 2015, President Xi Jinping of China visited the Hamlyn Centre at Imperial College London to understand the latest achievements in medical robotics research, including the significant role of integrated imaging technology and sensors in minimally invasive surgery.

Yang Guangzhong, the Director and Co-founder of the Hamlyn Centre, was the one to receive the President.

Academician Yang has received numerous honors: Fellow of the Royal Academy of Engineering, Director of the Wolfson Medical Imaging Computing Lab, Co-founder of the Wolfson Surgical Techniques Lab, and Chair of the Centre for Pervasive Sensing Technology. He is also a Fellow of several institutions, including IEEE, IET, AIMBE, IAMBE, and MICCAI. He was selected as one of The Times’ “Eureka 100″—100 scientists who have made significant contributions to the UK.

He also holds important positions in China, serving as a specially appointed expert in the “Thousand Talents Plan” and has been the Chief Scientist at the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences since 2007, concurrently serving as the Honorary Director of the Medical Robotics and Minimally Invasive Surgical Instruments Research Centre.

Looking back at Academician Yang’s educational experience, it can be described as “smooth.” He was admitted to the undergraduate program in the Department of Automation at Shanghai Jiao Tong University in 1982, and with four years of excellent grades, he was accepted into the Master’s program in Image Processing and Pattern Recognition at the same university in 1986, receiving a scholarship the following year and studying in the UK at Imperial College, where he obtained his PhD.

Since 2003, he has been a full professor and Director of the Medical Imaging Processing Research Centre at Imperial College London and has been appointed as a visiting professor at his alma mater, becoming the first president of the Shanghai Jiao Tong University Alumni Association in the UK in 2011.

As the UK’s largest academic research partner with China, Imperial College maintains close ties with domestic institutions. Even though Academician Yang is overseas, he has always cared about the development of his motherland, promoting cooperation between Shanghai Jiao Tong University and Imperial College to establish a joint research institute in the field of robotics. During President Xi’s visit to Imperial College, Academician Yang reported on the progress of this collaboration.

A Wealth of Publications

Academician Yang’s research mainly focuses on medical imaging, remote sensing, and robotics, with a wealth of publications, including:

  • 85 papers at MICCAI (the highest-level conference in the field of medical image computing and analysis);

  • 46 papers at BSN (Body Area Networks Conference);

  • 36 papers at IROS (IEEE/RSJ International Conference on Intelligent Robots and Systems);

  • 22 papers at ICRA (International Conference on Robotics and Automation);

  • 18 papers at MIAR (Medical Imaging and Augmented Reality);

The paper “Body Sensor Network—A Wireless Sensor Platform for Pervasive Healthcare Monitoring” co-authored by Academician Yang, Benny P.L. Lo, Surapa Thiemjarus, and Rachel King is one of his most important concepts, with over 900 citations and a revised edition published in 2014 that incorporated new technological developments.

Academician Yang believes that since the 1990s, the sensor and monitoring industry in health and healthcare has developed rapidly, particularly in the field of wireless wearable implantable devices for health monitoring and intervention. Many academic institutions and companies have built similar health platforms to manage various acute and chronic diseases, including diabetes, cardiovascular diseases, and epilepsy. However, despite the rapid development of sensor technology, several issues still persist:

  • Building relevant integrated systems;

  • Miniaturization of sensors;

  • Low power consumption sensor interfaces;

  • Wireless telemetry;

  • Signal processing issues, etc.

The development of Body Sensor Networks (BSN) has brought about a new revolution and experience in health monitoring and detection. Academician Yang advocates the use of technological transformation through sensing technology to provide personalized wireless monitoring platforms, designing devices that are universal, intelligent, and environmentally aware. In his monograph, Academician Yang points out that in most engineering problems, researchers mainly focus on system architecture and precise specifications and modeling of responses, but for complex systems, it is necessary to mimic biological systems to achieve dynamic rapid adaptation in complex environments.

Currently, researchers can use existing technologies to develop a range of motion tracking technologies, including optical tracking, mechanical tracking, and inertial sensor-based tracking systems, integrating multiple sensors to build motion reconstruction systems to evaluate rehabilitation treatment effectiveness.

Academician Yang stated during a guest lecture at Shanghai Jiao Tong University’s Master Forum in 2015 that he believes the development goal of medical robots is “to sense, to act, to adapt, to learn, to evolve, to be intelligent, to disappear,” meaning starting with perception, gradually learning to control, adapt, learn, evolve, and become intelligent, ultimately “disappearing” by creating smaller robots through 3D printing and more precise micro-manufacturing technologies, making robots appear invisible yet omnipresent, ultimately achieving harmonious coexistence and symbiosis with humans.

Additionally, in the field of imaging, Academician Yang has utilized magnetic resonance phase contrast velocity imaging and computer modeling techniques to improve quantitative and visual blood flow, enabling local focus imaging real-time navigation echoes, providing solutions for coronary angiography. For this work, Academician Yang received the ISMRM I.I Rabi Award. He is also a key promoter of robotic hand control perception docking technology, representing a paradigm shift in learning and knowledge acquisition, as well as cognitive behavior in robotics.

Academician Yang’s understanding and insights into medical robots are indeed profound, and many practitioners and researchers interested in medical robots would like to see his work. This year, from July 7 to July 9, the CCF-GAIR, hosted by the China Computer Federation (CCF) and fully organized by Leifeng Network, is fortunate to invite Academician Yang Guangzhong to our conference to share his insights in the research field.

CCF-GAIR provides a broad platform for academic and industry experts from home and abroad to exchange ideas, both macro and micro, on global artificial intelligence trends and the practical application details of AI in various vertical fields. Continuing the previous conference’s lineup of top guests, this year’s CCF-GAIR 2017 will welcome more heavyweight experts from the AI and robotics industry. In the coming days, Leifeng Network will gradually release guest introductions, so stay tuned.

CCF-GAIR 2017 Early Bird Tickets on Sale Now

Last August, Leifeng Network held the first CCF-GAIR—Global Artificial Intelligence and Robotics Summit in Shenzhen, inviting over ten Fellows from international AI societies and scholars with outstanding contributions in various academic fields, including eight academicians from the Chinese and American engineering academies; in addition, executives from first-tier companies like BAT and rising AI stars such as Toutiao, Sogou, and Didi were also present.

How Medical Robots Can Harmoniously Coexist with Humans: Insights from Academician Yang Guangzhong

(Some guests of CCF-GAIR 2016)

When counting all the summits in the field of artificial intelligence, apart from historical conferences like AAAI and ICML, CCF-GAIR 2016’s guest specifications are among the highest across cross-academic and industrial summits. We can still say without embarrassment that CCF-GAIR 2016 may be the best artificial intelligence and robotics summit in the world.

This year, if the new advertising law does not oppose it, we want to remove this “may”.

Compared to CCF-GAIR 2016, the upcoming CCF-GAIR 2017, to be held from July 7 to 9 in Futian, Shenzhen, has had six major upgrades!

Six Major Upgrades

Upgrade 1 Scale upgraded from 1200 to 2500, gathering scholars, young scientists, AI innovators, and investors.

Upgrade 2 Exhibition area expanded from 200㎡ to 2000㎡, showcasing the most comprehensive projects from cutting-edge technology companies.

Upgrade 3 Schedule extended from two days to three days, with the main forum extended from half a day to two days, featuring more academic giants and industry leaders waiting for you.

Upgrade 4 Sub-forums increased from three to seven, covering more AI application fields.

Upgrade 5 More international guests and academic leaders attending, capturing the latest research progress in the world.

Upgrade 6 The organizers will jointly release two significant lists with several authoritative institutions.

The returns from attending the CCF-GAIR conference are considerable:

How Medical Robots Can Harmoniously Coexist with Humans: Insights from Academician Yang Guangzhong The best scholars internationally share the forefront of AI technology, gaining the latest information.

How Medical Robots Can Harmoniously Coexist with Humans: Insights from Academician Yang Guangzhong The hottest AI companies share practical project experiences.

How Medical Robots Can Harmoniously Coexist with Humans: Insights from Academician Yang Guangzhong Experience the most comprehensive AI projects at the exhibition.

How Medical Robots Can Harmoniously Coexist with Humans: Insights from Academician Yang Guangzhong Dinner and roadshow events, face-to-face communication with the strongest minds in the AI field.

How Medical Robots Can Harmoniously Coexist with Humans: Insights from Academician Yang Guangzhong You might also find investment opportunities or entrepreneurial partners …

No matter what your expectations are, CCF-GAIR 2017 will give you value for your money. Click Read Original to grab your early bird tickets now. Seats are limited, so act fast.

How Medical Robots Can Harmoniously Coexist with Humans: Insights from Academician Yang Guangzhong

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