Artificial intelligence (AI) is a new technical science that studies and develops theories, methods, techniques, and medical systems for simulating, extending, and extending human intelligence. AI is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that responds in a manner similar to human intelligence. Research in the AI ​​field includes robotics, speech recognition, image recognition, natural language processing, and expert systems. On April 28th, the State Council issued the "Opinions on Promoting the Development of "Internet + Medical Health"", from the seven aspects of medical services, public health services, family doctor contract services, drug supply security, medical AI applications, etc. Medical health" service system. The core is the sharing of medical and health data and Internet smart connections that have been scattered at various levels of medical institutions to optimize medical resource allocation, innovate service models, improve service efficiency, reduce service costs, and meet the growing health and health needs of the people. . On May 8th, at the launching ceremony of the world's first "human-machine contest" around the diagnosis of neurological diseases, neurology specialist, deputy director of the National Center for Neurological Disease Clinical Medical Research, and Professor Wang Yongjun, executive vice president of Beijing Tiantan Hospital The application of artificial intelligence in the medical field, especially neurological diseases. He said that the nervous system is a universal link network, which is most suitable for artificial intelligence research. It is particularly optimistic about the future application of artificial intelligence in changing brain disease clinical decision-making and hospital management. Artificial intelligence is rapidly developing in the medical field Professor Wang Yongjun introduced that AI uses "deep learning" to establish and simulate the neural network of human brain for analytical learning, interpreting data such as images, sounds and texts by mimicking the mechanism of the human brain, and continuously extending the functions of the human brain. “AI is constantly changing our medical care,†said Professor Wang Yongjun. Research shows that the market for AI in the medical and health fields will grow from 600 million in 2014 to 6.6 billion in 2021, an 11-fold increase, and the future will grow at an explosive rate. Figure 1 Enterprises that use artificial intelligence to change health care patterns have mushroomed AI can help achieve unmet medical needs. The use of AI to change medical care has risen in all aspects (Figure 1). Prof. Wang Yongjun said that at present, AI has the largest proportion of applications in the medical field, namely robotic assisted surgery technology, followed by AI simulation reality nursing assistance, and third is hospital process management, followed by defect determination, drug dose correction, and device connection. , clinical trials, preliminary diagnosis, automated image processing, network security. "In the future, nurses don't need to push the drugs in the infusion. The bedside ultrasound no longer needs to push such a heavy machine. The patient is given food without the caregiver to shuttle back and forth. The operating room does not need to go back and forth for more than ten minutes." The professor said that these will be solved soon in the intelligent era, and AI will bring new changes to the hospital. Use the wisdom of studying the human brain Brain-like calculations to solve encephalopathy Professor Wang introduced that the damage of nerve cells is irreversible and the rate of disability is high. Early detection, early diagnosis, and early intervention are the key factors affecting the efficacy of neurological diseases. In the context of the extremely uneven distribution of quality medical resources in China, the rate of misdiagnosis and missed diagnosis in the primary level is high for neurological diseases with high complexity and difficulty in locating diagnosis. Professor Wang believes that the "human brain" diagnosis and treatment of neurological diseases is an internationally leading Tiantan Hospital. It has innate advantages and big data foundation in AI research and development and deep learning. On December 22, 2017, the National Center for Clinical Research of Neurological Diseases initiated the establishment of the world's first artificial intelligence research center for neurological diseases, and settled in Beijing Tiantan Hospital affiliated to Capital Medical University. The application of AI in cerebrovascular disease is to solve the brain disease in a brain-like way by studying the wisdom of the human brain. At present, the research direction of AI in the diagnosis and treatment of cerebrovascular diseases mainly includes three aspects. According to this, Tiantan Hospital participated in the development of the world's first CT, MRI neuroimaging AI auxiliary diagnostic products. Prediction of hematoma enlargement in hemorrhagic stroke Professor Wang introduced that the mortality rate of intracranial hemorrhage is the highest in cerebrovascular disease. The biggest reason is the enlargement of hematoma, which can lead to several times the mortality of patients. Hematoma enlargement can be prevented by lowering blood pressure and early use of hemostatic drugs. However, not every patient has a hematoma enlargement, and lowering blood pressure has a risk of peripheral ischemia, and hemostatic drugs may cause a risk of thrombosis. Therefore, accurately predicting the expansion of patients with hematoma and timely intervention is an important measure to reduce the mortality of patients with cerebral hemorrhage. The current method is to inject iodine contrast agents, and the best positive predictive rate is about 70%. And AI through the deep learning of massive disease information, the positive prediction rate of hematoma enlargement can reach 85%~90%; and AI does not need to inject contrast agent to patients, reduce potential kidney damage or can not tolerate iodine allergy. 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