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Medical AI Ecosystem Innovation Forum and iMedLoop Global Medical Imaging Data Platform Launch Held in Beijing
PR Newswire
Fri, July 10, 2026 at 2:34 PM GMT+5:30
10 min read
When Healthcare Meets AI: A New Era of Ecosystem-wide Innovation Is Accelerating
BEIJING, July 10, 2026 /PRNewswire/ — On July 4, the Medical AI Ecosystem Innovation Forum and iMedLoop Global Medical Imaging Data Platform Launch was held in Beijing
Jointly organized by Liaowang Finance, under Liaowang Weekly, and Diagens Technology, the event was guided by the theme of “AI for Science”, bringing together stakeholders from government, industry, academia, research, and healthcare across the medical AI ecosystem. More than 100 representatives attended the forum, including experts and leaders from the Chinese Academy of Sciences, the Chinese Academy of Engineering, the China National Health Association, the China Academy of Information and Communications Technology (CAICT), the Cyberspace Administration of Zhejiang Province, Zhejiang Cancer Hospital, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Hangzhou Data Group, and Legend Holdings.
During the event, Diagens Technology officially launched the iMedLoop Global Medical Imaging Data Platform, a proprietary platform developed specifically for the medical AI industry. More than 30 strategic cooperation agreements were also signed. Together, these initiatives establish a practical platform for collaboration among government, industry, academia, research, and healthcare sectors to advance the high-quality development of medical AI, while providing infrastructure to support China’s participation in the global medical AI ecosystem.
Unlocking the Full Value of Data for Medical AI
As the digital economy converges with the Healthy China strategy, artificial intelligence has become a key driver of new-quality productive forces in healthcare. With the continued advancement of tiered diagnosis and treatment, precision medicine, and smart hospitals, medical imaging has become an essential foundation for disease screening, clinical diagnosis, and medical research. As a result, the value of medical imaging data continues to grow, making compliant data circulation and utilization an inevitable direction for industry development. China’s National Data Administration, in its Action Plan for the Development of Trusted Data Spaces (2024–2028), has explicitly identified healthcare as one of the priority sectors for the development of trusted data spaces.
During the keynote session, Professor Chen Runsheng, bioinformatician and researcher at the Institute of Biophysics, Chinese Academy of Sciences, delivered a presentation entitled “Technical Principles and Future Challenges of Large AI Models.” He explained the technological foundations, innovative nature, and future prospects of large AI models, noting that artificial intelligence has become deeply integrated into medical imaging and is increasingly serving as an essential analytical tool. He remarked that AI can integrate the knowledge and expertise of medical imaging specialists, bringing together multiple analytical approaches to deliver high-quality imaging analysis capabilities. In his view, AI’s greatest strength lies not only in processing vast volumes of imaging data, but also in consolidating the knowledge and experience of multiple experts, overcoming the limitations of individual interpretation in ways that traditional manual image reading cannot achieve.
