Successfully "announced" national tasks! YIDU TECH (02158) collaborates with Tongji Hospital to tackle gastric cancer AI diagnosis and treatment.

Recently, the domestic AI medical leading enterprise YIDU TECH (02158) and Tongji Hospital affiliated with Tongji Medical College of Huazhong University of Science and Technology successfully applied for the multi-modal AI database project for the diagnosis and treatment of gastrointestinal tumors jointly selected by the National Ministry of Industry and Information Technology in the 2025 artificial intelligence medical device innovation task "Leading the Charge". It is understood that the project aims to build a high-quality, standardized gastrointestinal tumor full-cycle data platform and develop an AI-assisted diagnosis and treatment system covering screening, classification, and efficacy prediction based on this platform. The goal is to improve the early detection rate and treatment accuracy of gastrointestinal tumors in China and promote the transformation of results. By focusing on key clinical issues, the project aims to break through the key bottlenecks in clinical diagnosis and treatment. The Ministry of Industry and Information Technology's "Leading the Charge" initiative is a major innovation mechanism established by the country to accelerate key core technology research and promote the transformation of scientific and technological achievements. This task aims to select teams with strong research and clinical transformation capabilities to address the "bottleneck" problems in the medical and health field. Gastrointestinal tumors have a high incidence and mortality rate in China, with low early diagnosis rates, complex personalized treatment selection, inaccurate prognosis assessment, etc., which have always been severe challenges faced by clinicians. The project "Multi-modal Artificial Intelligence Standardized Database for Gastrointestinal Tumor Diagnosis and Treatment" is led by Professor Liao Jiazhi from the Department of Gastroenterology of Tongji Hospital, with the core clinical and research team consisting of Professor Wang Guihua from the Department of Gastrointestinal Surgery, Professor Liu Mei from the Department of Digestive Medicine, and Professor Chen Yanyan from the Big Data and Artificial Intelligence Office. YIDU TECH will provide comprehensive technological support and build a high-quality, standardized database base for multi-modal data, providing a core engine for AI-driven intelligent diagnosis and treatment of the entire process. Multi-modal integration + standardized whole-process creation, building a new base for gastrointestinal tumor AI diagnosis and treatment The technical core of this project lies in "multi-modal" and "standardization". The platform will integrate gastrointestinal endoscopy images, pathological slices, gene sequencing, clinical follow-up, and other multidimensional, full-cycle data to build an unprecedented high-quality, large-scale, full-cycle gastrointestinal tumor data asset library, improving the research and development efficiency of gastrointestinal tumor medical artificial intelligence products and technologies. On this basis, YIDU TECH will form an "Innovation Consortium" deeply integrated with Tongji Hospital and plan to aggregate and manage tens of thousands of high-quality cases during the project implementation period, developing AI algorithm models covering key scenarios such as early screening, precise typing, efficacy prediction, and recurrence risk assessment in gastrointestinal tumors, and promote their transformation into medical device products and clinical applications. In addition, the two parties will also develop multiple clinical application guidelines and industry standards related to gastrointestinal tumor AI diagnosis and treatment, carry out research and transformation of AI products for gastrointestinal tumor diagnosis and treatment according to actual clinical needs, and cultivate talents with a combination of clinical medical background and data science capabilities. These measures are of far-reaching significance in helping China seize the global technological high ground and rule-making power in this field. Deepening the synergy of industry, academia, research and application, promoting the intelligent development of tumor diagnosis and treatment Historical data shows that as a pioneer in the field of AI medical care, YIDU TECH has accumulated rich experience in data governance, knowledge graph, multi-modal analysis, etc. As of September 30, 2025, the company has served 127 well-known medical institutions nationwide. The "AI Medical Intelligence Brain" YiduCore has accumulated and analyzed nearly 7 billion authorized medical records, covering a network of over 10,000 cooperative hospitals, providing a solid data foundation and clinical insights for the training, optimization, and landing of AI models. Industry analysis believes that this cooperation is a vivid practice of the innovative model of "clinical needs driving, AI-driven research and development, and industry-academia-research-application synergy", which will help to improve the overall level of diagnosis and treatment of gastrointestinal tumors in China, bringing more precise, efficient, and accessible medical services to patients and significantly improving the quality of life of patients. YIDU TECH stated that the company will continue to promote the deep integration of cutting-edge technology and clinical needs, make every effort to advance project research, promote the intelligence of gastrointestinal tumor diagnosis and treatment, and said that the data governance standards, AI research and development paths, and clinical application paradigms explored by this project are expected to be replicated and promoted in other major disease fields, contributing to "Healthy China 2030".