Shanghai, April 9, 2025 /PRNewswire -- At the 91st China International Medical Equipment (Spring) Fair (CMEF), Siemens Healthcare left a lasting impression with a wide array of cutting-edge artificial intelligence (AI)-enabled products and solutions. In order to show its comprehensive approach to medical AI in all facets, including the dimensions of AI hardware, AI software, and AI innovation ecology, the company also entered into a number of partnerships in the field of AI co-creativity with partners such as healthcare organizations, industry associations, and tech companies. The company's full-chain architecture in the medical AI field was thoroughly shown.

Figure.1 Siemens Healthcare's Global AI “Smart Core Workshop”

“AI Factory": healthcare AI full chain layout, continuously driving value innovation

Relying on the company's global advantages and extensive accumulation in the field of AI, and adhering to the concept of openness and cooperation, Siemens Healthcare is dedicated to continuously exporting valuable innovations that meet the needs of the local community to the Chinese healthcare industry. One of the highlights that Siemens Healthcare will present to the audience at this year's CMEF is the "AI Factory," which represents the company's full-chain layout for future AI innovation and application.

Siemens Healthcare has currently achieved AI empowerment for all of its products, including DSA, CT, MRI, ultrasound, and X-ray devices. By offering intelligent support for diagnostic and treatment decision-making at every significant node of the clinical path, AI products and solutions have achieved full-cycle coverage of disease diagnosis and treatment, from prevention, screening, diagnosis, treatment, and rehabilitation management. Deep integration with AI technology not only enhances the equipment's effectiveness in diagnosis and treatment, but it also streamlines workflow, increases productivity, and enables physicians to get more precise diagnosis and treatment outcomes faster.

Together, create a whole-process image quality control intelligence body based on generative AI.

The lack of high-quality resources, the ineffectiveness of manual evaluation, and the regional variations in quality control standards have long been problems for the traditional image quality control model. These issues result in variations in image quality across various medical facilities, which has a direct impact on the precision and consistency of clinical diagnosis. Siemens Healthcare, the Chinese Medical Association's Imaging Technology Branch, and China Telecom jointly introduced the Generative AI-based "Whole-Process Imaging Quality Control Co-Creation Program" at this year's show. The project will collaborate to build an imaging QC intelligent body with enhanced search, enhanced knowledge base, and model tuning functions, leveraging Siemens Healthcare's expertise and AI R&D technology advantages in the medical imaging field, integrating China Telecom's arithmetic platform, and drawing on the professional insights of the Chinese Medical Association's Imaging Technology Branch on imaging QC. This will help improve the level of standardization of imaging technology, lower the difficulty and cost of establishing an imaging QC system in medical institutions, and significantly advance the development of medical imaging QC systems. This will significantly advance the development of medical image homogeneity, lessen the difficulty and expense of setting up an image quality control system in healthcare facilities, and help standardize imaging technologies.

Prof. Ma Xinwu, Chairman-designate of the Chinese Medical Association's Imaging Technology Branch; Mr. Tang Kaifeng, General Manager of China Telecom Shanghai's Industrial and Service Key Account Department; and Mr. Chen Chip Xiao, Vice President and Head of Digitalization Business of Siemens Healthcare Greater China, are pictured from left to right.

We frequently state that technology comes before image quality, and imaging technology has always been crucial to the advancement of medical imaging, according to Prof. Ma Xinwu, Chairman-designate of the Chinese Medical Association's Imaging Technology Branch. One important way to maximize the distribution of medical resources is through the standardization of medical imaging and image recognition, which calls for resource integration and transparent industry cooperation. This collaboration will significantly advance this process, which is crucial for increasing access to healthcare services and lowering the cost of social healthcare.

Creating a high-precision “medical digital human” to empower the new “meta-universe” healthcare scenario

Siemens Healthcare's key technology for precise diagnosis and therapy is called "Patient Digital Twin." Real-time reflection of the patient's health status, more precise and individualized disease prediction and management, and a shift from the traditional "trial-and-error diagnosis and treatment" to an intelligent "prediction-intervention-verification" closed-loop model are all made possible by the creation of a highly accurate and dynamically evolving virtual physiological model of the patient. This is anticipated to completely alter the clinical decision-making process. The "Holographic Medical Image Augmented Reality (Medical Digital Human) Application Co-Creation Project," recently launched by Siemens Healthcare, Shanghai Ruijin Hospital, and Tencent Health, is an extension of the collaboration between Siemens Healthcare and Shanghai Ruijin Hospital in the second batch of Shanghai's major application scenarios in the meta-universe. The project, "unveiling the list of the commander-in-chief," will conduct innovation and exploration in the field of "medical digital human" and collaborate with Tencent Health to expedite technological innovation and clinical landing. We will expedite clinical landing and technology innovation in collaboration with Tencent Health.

With an emphasis on the medical scenarios at Shanghai Ruijin Hospital, the collaboration will be incorporated into the local digital innovation ecosystem. Using patient imaging data, artificial intelligence, digital simulation, three-dimensional reconstruction, virtual reality, and other digitalization technologies, a virtual "medical digital person" will be created that will closely resemble the morphology, structure, and function of the real organs and give physicians a more accurate and intuitive diagnostic foundation. Siemens Healthcare and Ruijin Hospital will accelerate the clinical transformation of digital innovations, realize the deep integration of the innovation chain and industry chain, and encourage the broad use of digital and intellectual innovations in medical services through the creative hospital-enterprise cooperation model.

Global Medical AI Advantage: Innovation Is Driven by Open Collaboration

Siemens Healthcare has a distinct pioneering advantage and has long been a leader in the field of healthcare AI. Siemens Healthcare began using AI in imaging equipment as early as 1990. Over the next 35 years, Siemens Healthcare has continued to make significant and consistent investments in AI, combining global resources to create a growing momentum. With over 2 billion high-quality medical data points, 350 world-class algorithm experts, and over 1,600 AI experiments conducted daily in two separate supercomputing facilities in the United States and China, Siemens Healthcare boasts the best AI resources in the world.

Open collaboration, rather than technical barriers, is the key to creativity in the AI era. By empowering partners to carry out localized innovation and creating an open innovation ecosystem for AI, Siemens Healthcare promotes "local wisdom, global co-creation." The Siemens Healthcare AI Creation Lab Platform, which is based on the best AI capabilities in the world, starts with clinical needs and assists clients in turning their ideas into AI solution prototypes. For instance, Siemens Healthcare AI Sharp Eye Research Platform helps transform high-value innovations by establishing a comprehensive research value chain while achieving the docking of top research resources both domestically and internationally.

"The idea and original intent of 'Smart Core Factory' of open cooperation are fully embodied by all of these." "Artificial Intelligence is igniting a global wave of technological change and has shown us the unlimited potential of medical AI innovation," stated Chip Xiao Chen, Vice President and Head of Digitalization Business, Siemens Healthcare Greater China. Siemens Healthcare fully utilizes its global AI technology advantages, closely connects with local clinical demands in China, and promotes the value of smart healthcare under the direction of the national 'Artificial Intelligence+' policy. We will work with more Chinese partners to develop solutions that have both clinical and technological depth in order to create a new vision of smart healthcare. We will also keep strengthening the collaboration between industry, academia, research, and medicine.

About Siemens Healthcare

Creating Innovation for All. With operations in more than 180 countries and regions and a direct presence in more than 70, Siemens Healthcare is a top global supplier of medical devices, solutions, and services. Siemens Healthcare is made up of its companies as well as Siemens Healthcare AG (Frankfurt Stock Exchange: SHL). Siemens Healthcare, a pioneer in medical technology, is dedicated to combating fatal illnesses that endanger human health and expanding access to top-notch healthcare resources. Medical imaging, in vitro diagnostics, cancer detection, and minimally invasive therapies are among Siemens Healthcare's business operations. Digital technology and artificial intelligence are used to support each of these operations. Siemens Healthcare employs over 71,000 people worldwide and makes about €21.7 billion in sales as of fiscal year 2023 (September 30, 2023).