On April 26, the National Health and Health Commission issued the "Notice on Further Strengthening the Work Related to the Management of Stroke Diagnosis and Treatment" (hereinafter referred to as the "Notice"). The "Notice" clarifies and improves the national stroke medical service system. It is necessary to vigorously promote the construction of emergency first aid system, strengthen the facilities of pre-hospital emergency equipment related to stroke diagnosis and treatment, and improve technical specifications and operational procedures. Encourage the construction of “Stroke First Aid Map†and create a “regional prime time rescue circleâ€. The promotion of the policy indicates that the state attaches great importance to stroke prevention. Stroke has become the first cause of death in China due to its high morbidity, high mortality rate and high disability rate. The unstable internal carotid artery is easy. Damaged plaque is a very high risk factor for stroke, so determining whether plaque is damaged is an important condition to prevent stroke. Wing Zhan Medical Group and the industrial transformation platform of Tsinghua University Biomedical Imaging Research Center and Beijing Qingying Huakang Technology Co., Ltd. jointly promoted the magnetic resonance plaque imaging artificial intelligence solution, which relies on artificial intelligence technology to solve atherosclerosis. Plaque medical image recognition problem. Core technology advantages of magnetic resonance plaque imaging artificial intelligence solution The magnetic resonance plaque imaging artificial intelligence solution is based on the deep engineering background of Tsinghua University and is based on the development of standard cases marked by tens of thousands of experts. The model can accurately and comprehensively analyze the plaque morphology and composition characteristics. The accuracy of segmentation of the vessel wall is 97.2%, which can help the doctor to quickly locate the lesion and understand the lesion area, reduce the doctor's work pressure and improve the diagnosis. Efficiency and diagnostic accuracy. The machine first analyzes the image quality, determines whether the image can be used, and re-scans the image that cannot be used to the doctor to improve the accuracy of the analysis. Sensitivity and specificity of the assessment results to the test dataset (from the Tsinghua University team) Secondly, multiple MR image sequences are automatically acquired and the image quality is evaluated. Image registration is performed while rejecting the unqualified image, and a multi-contrast revascularized image is generated to automatically identify the structure and composition of the plaque. Within a few minutes, Complete the accurate segmentation of the carotid artery, outline the plaque, analyze the plaque composition, and detect its three-dimensional distribution. The diagnosis results are based on the internationally recognized AHA American Heart Association standard for disease assessment and risk prediction, which is beneficial to the intervention and prevention and clinical decision-making of vascular surgeons, neurologists, interventional therapists and cardiovascular and cerebrovascular doctors. In the comparison experiment for the treatment of the unsatisfactory sample, the outline manually sketched by the radiologist showed an error; and the model correctly divided the carotid wall, which fully proved the robustness of the model. The left side of the figure below is the manual label, and the image on the right is the machine label. It can be clearly seen that the machine marks the gap, and the gap means that the plaque has broken. The plaque that is clinically ruptured on the surface is called a high-risk plaque, and the contents will flow out, which is very harmful to the patient and urgently needs to be treated. Manual labeling on the left and machine labeling on the right (from the Tsinghua University team) Magnetic resonance plaque imaging artificial intelligence solution unique competitive advantage The development of the magnetic resonance plaque imaging solution relies on the Tsinghua University Imaging Clinical Experiment Project, the Chinese Atherosclerosis Risk Assessment (CARE II), which aims to use the latest magnetic resonance imaging methods to trigger ischemic Screening, diagnosis, risk warning and prognosis of high-risk plaques of "arteriosclerosis" in stroke, so as to establish imaging diagnostic criteria suitable for Chinese people, and provide important imaging basis for prevention and control of Chinese stroke. In the course of the experiment, the research and development team united 14 hospitals, including Beijing Hospital, Peking University First Hospital, and 301 Hospital, and collected more than 30,000 sample data from more than 1,000 patients nationwide, all of which were uniformly labeled by experts. The world's largest standard set of carotid plaques. Dozens of cooperation experts come from the top three hospitals in China, and their ranks are all above the deputy chief physician. They have more than ten years of research experience in the direction of vascular plaque imaging to ensure the standardization and specialization of diagnostic content. Dr. Li Rui In addition to having the world's largest standard dataset, the technical team of the magnetic resonance plaque imaging artificial intelligence solution comes from the Biomedical Imaging Research Center of Tsinghua University. It is the first pioneer in China to study this field. “It can be said that there is no such team. There is no plaque imaging technology. The product manager said that the members of the technical team graduated from the top universities in foreign countries and have many years of theoretical knowledge and practical research and development experience. Dr. Li Rui, the leader of the development of artificial intelligence algorithms, is an associate researcher in the Department of Biomedical Engineering at Tsinghua University School of Medicine and deputy director of the Center for Biomedical Imaging Research. Mainly engaged in the development of cardiovascular magnetic resonance imaging methods, especially for intracranial and extracranial plaque imaging, blood flow imaging has a more in-depth study. Hosted and participated in 2 key projects of the 13th Five-Year Plan, 3 projects of the National Natural Science Foundation of China, 1 Beijing Science and Technology Plan Project, 1 cross-school project, and 2 horizontal projects. Clinical application of magnetic resonance plaque imaging artificial intelligence solution The magnetic resonance plaque imaging artificial intelligence solution can be connected to the hospital image archiving system. Using magnetic resonance plaque image data, qualitative and quantitative measurements can help physicians accurately analyze arterial plaques in the neck and intracranial vascular beds. This synergy frees physicians from heavy repetitive work, has more time to interact with patients, focuses on more valuable things, and provides the perfect solution for clinical diagnosis, treatment, and prognosis assessment. Typical image of the left carotid artery (from the Tsinghua University team) At present, the clinical application of the artificial intelligence solution for magnetic resonance plaque imaging mainly includes three points. Firstly, it helps doctors to confirm the shape of plaque, determine the components in the plaque and distinguish the plaque from vulnerability or stability, which has important predictions for the occurrence of stroke. Value; secondly, to determine the number of plaques, the extent of involvement, to help doctors identify the purpose of treatment, and to guide treatment and prognosis; finally, the machine replaces manual writing reports, improve diagnostic efficiency and accuracy, save patient waiting time, ease the hospital Medical pressure. The magnetic resonance plaque imaging artificial intelligence solution has advanced technical advantages and huge application potential, and its value in clinical hospitals is immeasurable. This product meets the needs of hospitals, doctors and the general public. It uses this intelligent tool to provide better medical services for patients with cardiovascular diseases and improve clinical medical care. 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