In the field of artificial intelligence, the topic of “AI+Medical†is particularly worthy of attention. Medical has a wide range of branches, involving many industries, and it has both empirical and technical attributes. The combination of artificial intelligence and medical treatment can achieve wider technical coverage based on the advantages of big data on the one hand, and help to improve the fineness and professionalism of the entire industry level on the Other hand. With the slogan of “Healthy China†raised and raised to the national strategic level, the capital market has also begun to shift its focus to the medical field. Just like chasing e-commerce in the past, more capital now naturally will not let go of the "window" under the artificial intelligence blessing. The most obvious performance is that the “AI+Medical†model startups have been established. According to the statistics of Flint's creation of HSMAP system, domestic medical artificial intelligence enterprises have seen a peak of growth since 2014, and the peak value in 2016 has risen to 36. This momentum is still very strong. “AI+Medical†usually refers to the application of new technologies and means such as artificial intelligence, big data, Internet of Things, and cloud computing to medical service subjects, medical institutions, and medical service objects. Therefore, "AI+Medical" can actually be divided into different landing scenarios: The first type of application scenario is the prediction of epidemics. According to reports, in the first half of 2017, the "artificial intelligence + big data" influenza prediction model developed by Ping An Technology has already landed. The model accurately predicts influenza trends, individual and group disease risk, helps public health departments monitor the epidemic in a timely manner, and guides people to prevent disease, effectively reducing the cost of disease and prevention. Currently, the models covered by the model include influenza, tumors, chronic diseases, hypertension, diabetes, and the like. The second category is for face recognition and verification in the course of diagnosis and treatment. The traditional medical treatment process involves registration, payment, and printing of reports, and each link is bound to be verified. After the introduction of AI technology, this process can be achieved by means of face recognition, speeding up the efficiency of treatment. In addition, for medical staff, face recognition can also prevent the occurrence of false detection and replacement, further optimize the diagnosis and treatment environment, standardize the diagnosis and treatment behavior, and reduce the pressure on medical staff. At present, Ping An Technology has carried out pilot projects of such technical programs with medical institutions such as the Eighth Hospital affiliated to Sun Yat-sen University. The third category is to use medical data to assist in diagnosis and improve the accuracy of diagnosis and treatment. This is also an important landing scene for artificial intelligence. On July 11, 2017, Ali Health and Wanliyun released the medical AI “Doctor Youâ€, which is representative of such applications. According to the official website, the "Doctor You" AI system includes several aspects such as clinical medical research diagnostic platform, medical auxiliary testing engine, and physician ability training system. Taking the CT lung nodule intelligent detection engine exhibited as an example, intelligent detection and recognition of nearly nine thousand CT images generated by 30 patients can be read in only 30 minutes with an accuracy of over 90%. Similarly, on August 3, an “AI+Medical†application called “Tencent Shadow†was released. The official said that it took less than 4 seconds to screen an endoscopy, and the accuracy of early esophageal cancer was found. Up to 90%. The fourth type of landing application is precision surgery. Simply put, this kind of application scenario is to help doctors plan the optimal surgical path through the artificial intelligence-based computer-assisted surgery technology to achieve the minimum trauma to the patient, so as to achieve the goal of maximizing the recovery of the patient. On December 29, 2015, Hisense Computer-assisted Surgery and Hisense Surgical Intelligent Display System released by Hisense Medical were one of the achievements of “AI+ Precision Surgeryâ€. With artificial intelligence, the system can help doctors understand the relationship between liver cancer and organ system, calculate the organ and lesion volume, and determine the surgical removal route. The fifth category is for the field of pharmaceutical research and development. Computers are good at pattern recognition, and through the screening of large amounts of genetic, metabolic, and clinical information, unravel the complex biological networks that cause disease. In general, traditional drug development takes 10-15 years, and AI intervention can greatly shorten the cycle of drug development, thereby reducing capital costs. At present, Jingtai Technology can be regarded as a company with initial achievements in this area. Its AtomPai is designed to help companies quickly integrate AI algorithms into their existing R&D processes to meet enterprise-based and customized data analysis needs. The sixth category can be summarized as "AI + Health Management". With the rapid development of modern life, people pay more attention to their own health. Health is not only a disease-free state, but also a diet and a reasonable work schedule. In a certain sense, health is the ultimate vesting of medical care. On October 31, 2017, Health Benefits released an “ego†system to help people achieve precise and healthy management. It is understood that “ego†covers more than 2,000 lifestyle panorama data and tens of thousands of health knowledge maps, and integrates health information such as individual physical information, lifestyle and preferences, and dynamic monitoring to develop an intelligent health intervention program. Accurate digital management of life. On July 8, 2017, the State Council issued the "New Generation Artificial Intelligence Development Plan", proposing to develop smart medical care, promote new methods and new methods of applying artificial intelligence treatment, and establish a fast and accurate intelligent medical system. Optimistically speaking, the development of “AI+Medical†has already supported the policy level. With the intervention of the entire capital market, the application of artificial intelligence in the medical field will “make a higher levelâ€. In the future, we may use the drugs developed by AI to realize online consultation through remote video. We can use intelligent wearable health management equipment at home... I believe that under the blessing of artificial intelligence, the medical industry can achieve leapfrogging. Development. On June 15th, 2018, Yiou will hold the Global Smart+Health Summit in Shanghai. The guests will talk about the application of intelligence in various medical fields and stimulate the potential of intelligence + great health. This blue ocean is far wider than you think. Motorola Radio,Motorola Two Way Radios,Motorola Talkabout Radios,Motorola Handheld Radio Guangzhou Etmy Technology Co., Ltd. , https://www.digitaltalkie.com