East Soft Add-Wing Medical's big model stays at the heart of the industry's first ladder
Recently, the International Data Corporation (IDC) Authority released the China Medical Large Model Technology Assessment (2026-04-2025) report. This is not only a recognition of the technological accumulation and engineering capabilities of Eastsoft in the field of medical artificial intelligence, but also a powerful imprint of the original intent of Eastsoft for many years of 'deep clinical practice certification, service management'. With its excellent application in the real-world medical landscape, it has established itself in the first tier of China's medical landscape.
Its pioneering concept: three core psychological concepts, defining the developmental coordinates of East Wing Medicine, the IDC report notes that the medical landscape has high demands on the accuracy and explainability of the large model. Behind this authoritative certification is East Soft's systematic answer to a deeper proposition: what should medical AI do? Based on long-term industry accumulation, Eastsoft has always adhered to three core development concepts in the process of add-in medical model research and development: native AI (AI-Native) concepts: AI is not an out-of-process plug-in toolkit, but should be embedded in native healthcare core business flows such as HIS, EMR, so that users can gain efficiency without feeling.
AgenticAI's evolution: The medical scene is extremely fragile and complex, and it is worth noting that this trend also reflects to some extent the shift in the concept of service in the industry by building a cluster ecosystem in collaboration with several professional agents. Evidence-Based cognition: The nature of medicine is rigorous, large models must be aligned with clinical practice guidelines for certainty, a consensus team of experts must transition from probability-driven speculation to logical evidence-driven speculation, ensuring that every suggestion that comes out is based on evidence. On the safety and explainability level: adding a combination of detection enhancement, medical knowledge charts and quality control rules, introducing evidence-driven and constraint controls in the production process, and reducing the risk of model hallucinations.
With the continuing breakthrough of core technology capabilities, medical AI entering a credible era as a deep culminator in the field of medical informatization, the strength shown in IDC's technical evaluation is not only at the forefront of today's technical parameters, but also in deep insight into the medical industry. At the level of reasoning abilities: using a two-tiered framework of micro-thinking chains + macro-thinking chains, integrating single-point clinical judgement with the path of complete clinical practice, driving medical AI from outcome generation to systematic decision-making capabilities. At the same time, embedding medical ethics and compliance constraints into decision-making processes to ensure that AI behaviour is always within the boundaries of safety and regulation, forming an intelligible, auditable, manageable and transparent system.
Through multi-smart agent collaboration and dynamic compilation, the dismantling and execution of complex medical tasks with cross-system collaboration, and the combination of trace computation and evidence consistency mechanisms, make model output traceable and testable. Eastsoft strictly adheres to more than 2,000 data quality standards and more than 50 safety rules, and has developed nearly 70 high-quality disease datasets to build a solid foundation for model safety, accuracy and stable operation. High-Quality Medical Data Assessment, based on the results of the IDC Technical Assessment, received a full score from the dozens of indicators, including model performance, safety and data, or multiple-dimensional assessments of disease generation, disease history analysis, medical intelligence development, post-diagnostic management and follow-up, and service capabilities.
The high-Quality Medical Data Training Based on the East Wing Model includes a medical textbook database of 500,000 electronic disease labeling data; 970,000 medical concepts, 1280,000 medical vocabulary libraries and a clinical clinical knowledge base covering 1,1549 ICD coded diseases; In addition, EastSoft has acquired or extracted 354 medical imaging datasets covering 25 areas of the human body, 149 diseases, including 1. 9 million patients, 1. 54 million examinations and more than 100 million labelled image snippets, and innovated medical imaging data-precision intelligence analysis techniques.
At the same time, the medical model is not separate from the ongoing support of high-quality data. This is not a simple technological superimposition, but comes from the deep fusion of EastSoft's medical industry know-how and cutting-edge algorithms. Scalable deployment: More than 100 healthcare institution clients have chosen to demonstrate trust.
Currently, EastSoft has developed more than 120 smart braces covering smart clinical practices, smart management, smart services, and more than 100 healthcare institutions across the country. As the IDC report indicates that one of the future directions for medical AI is multi-smart collaboration, the application of medical AI is entering a phase. In the future, SOFTWARE will always adhere to the priorities of AI as a service to life, firmly promote the strategy of intelligentization, continue to deepen the integration of AI+ data and innovation, and advance the add-on medical model to deeper clinical practice innovation and scenario applications.
SoFTWARE believes that the future of medical informatics will no longer be a stack of tools, but a collaborative system of intelligent bodies with the ability to think and execute. EastSoft will use trusted, available, land-based medical AI to help medical institutions build smarter, more efficient and more temperature-friendly service models, become reliable partners in the smart world, make every medical decision more accurate, make every life-saving more engaging, and continue to contribute to the high-quality development of the medical industry.
