United Imaging Intelligence Appoints Sean Zhou and Dinggang Shen as Co-CEOs, Files IPO Prospectus

Following the addition of internationally renowned scholar Dinggang Shen to United Imaging, its AI subsidiary has recently welcomed another key executive: Sean Zhou, former Global Head of Siemens’ Computer-Aided Detection and Diagnosis division and a leading figure in the commercialization of medical imaging AI worldwide.He will serve as Co-CEO of the subsidiary, Shanghai United Imaging Intelligence Healthcare Technology Co., Ltd., alongside Shen Dinggang.。

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Sean Zhou

Co-CEO of Shanghai United Imaging Intelligence Medical Technology Co., Ltd.

Zhou Xiang has been deeply engaged in the fields of medical IT, digitalization, and intelligence for over a decade. He has led his team to deliver multiple industry-leading innovative products and services to physicians and patients worldwide, and has cultivated a cohort of leading talents in medical AI who are now dispersed across global sectors including the internet, computer hardware and software, insurance, and medical devices.

After earning dual degrees from the Department of Automation and the School of Economics and Management at Tsinghua University, Xiang Zhou pursued his Ph.D. in computer vision and machine learning at the University of Illinois, USA, under the supervision of Professor Thomas S. Huang, a member of the U.S. National Academy of Engineering and widely regarded as the “Father of Computer Vision.” His research contributions in computer vision, multimedia, and AI for medical imaging have been cited over 10,000 times, with an H-index of 44. To date, he has filed hundreds of patent applications and holds more than 60 granted international patents.

Explaining his decision to join United Imaging, he said, “It was largely a matter of timing and opportunity. Around the time I resigned earlier this year, I had numerous options, including large multinational corporations, leading domestic internet companies, and several startups. In fact, I nearly missed the chance to join United Imaging Intelligence. A key factor in ultimately coming together was Professor Shen. He commands a vast network of students and wields unparalleled international influence. We have been friends for many years—one in academia, the other in industry—observing each other from across the divide for a long time. Now, embarking on this entrepreneurial journey together, we make an ideal complementary team. Another important reason lies in the unique nature of medical AI. The healthcare industry is incredibly complex, with tens of thousands of diseases and countless diagnostic and therapeutic approaches employed by physicians. Typically, peripheral or independent startups can only delve deeply into a very limited number of areas, making it difficult to achieve economies of scale. However, leveraging United Imaging’s robust platform, United Imaging Intelligence can develop AI solutions that are deeper, broader, more solid, and more sustainable.”

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Zhou Xiang (left), the most influential leader in the commercialization of international medical imaging AI.
Dinggang Shen (right), one of the first scientists in the world to conduct research on artificial intelligence in medical imaging, and the first to apply deep learning to medical imaging.

Two globally renowned industry leaders have joined forces. One brings over a decade of extensive experience in the industrial sector, boasting the richest expertise in AI commercialization within the industry. The other has been immersed in academia for more than twenty years, possessing deep insights into the most creative knowledge and cutting-edge technologies. Now, combining their strengths, they will lead their team to focus on “empowerment” and “mutual benefit”: empowering physicians and medical devices, while achieving win-win outcomes with doctors, hospitals, research institutions, and third-party companies. “Everyone in our company should strive to be friends with physicians, making AI the best partner for doctors,” said Zhou Xiang.

Currently, the United Imaging Intelligence team has recruited a large number of top talents in the field of medical AI from overseas, forming a “dream team” that perfectly integrates academia and industry.

Zhan Yiqiang

COO, Shanghai United Imaging Intelligence Healthcare Technology Co., Ltd.

Researcher, Shanghai Jiao Tong University

Ph.D., Johns Hopkins University, USA

Led AI algorithm R&D at Siemens Healthineers for over 10 years

After returning to China last year, Zhan Yiqiang resumed his research work at his alma mater, Shanghai Jiao Tong University. Although he received offers from top domestic internet companies and several startups, he ultimately chose United Imaging Healthcare. “United Imaging established an independent AI subsidiary to comprehensively drive medical AI development, demonstrating Chairman Xue Min’s strong determination and grand vision for advancing medical AI. Artificial intelligence will undoubtedly significantly upgrade imaging equipment. Moreover, the potential of AI extends beyond imaging devices, empowering the entire medical imaging workflow and even the broader healthcare process.”

Gao Yaozong

Ph.D. in Computer Science, University of North Carolina at Chapel Hill

Previously served as a Computer Vision Researcher at Apple Inc.

In two weeks, he reduced the kidney segmentation time from 29 seconds to 1 second, increasing the accuracy rate from 88% to 98%.

Wu Dijia

Ph.D. in Computer Engineering, Rensselaer Polytechnic Institute

Formerly served as a Senior Scientist at multinational corporations such as Google, Microsoft, Siemens, and Intel.

The world’s first camera with embedded artificial intelligence, for which he was responsible, has been launched in the U.S. market.

Xue Zhong

Johns Hopkins University School of Medicine

Postdoctoral Fellow, University of Pennsylvania

Formerly Associate Professor at the Methodist Institute, Weill Cornell Medicine

He has led projects funded by the National Institutes of Health (NIH) and published more than 110 papers in prestigious international academic journals and at academic conferences.

Zheng Jiezhi

Ph.D. in Biomedical Engineering, National Taiwan University

Formerly served as an Associate Professor at Shenzhen University

He was a core member of the prestigious Overseas High-Level Talent Program and undertook multiple major national-level scientific research projects.

Shi Feng

Ph.D., Institute of Automation, Chinese Academy of Sciences

Formerly at the University of North Carolina, USA

Assistant Professor, Cedars-Sinai Medical Center, Los Angeles

He has dedicated a decade to the field of pediatric brain imaging, achieving breakthroughs in the precise segmentation, registration, and quantitative analysis of brain images in children under five years of age.