AI self testing robot AI technology of the hottest

2022-08-15
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Smart Ward: AI self-test robot for COVID-19, AI technology has become a breakthrough in new drug research and development

on February 12, AI self-test for COVID-19 was launched in learning power. When users have related discomfort symptoms, and fall into the dilemma of not seeing a doctor for fear of delaying the condition, and worrying about cross infection when going out for medical treatment, the initial self-test with AI self-test robot becomes the best choice

AI self-test robot for COVID-19

since the Ministry of industry and information technology issued the "proposal to give full play to the enabling effect of artificial intelligence and work together to fight the pneumonia epidemic infected by novel coronavirus" on February 4, more and more artificial intelligence enterprises have taken actions to try to get involved in AI assisted diagnosis, AI drug research and development, AI services and other fields. When AI enters the anti epidemic echelon and rigid demand is superimposed on technological progress, relevant subdivisions are expected to enter the fast lane of development

the challenge of the COVID-19 has accelerated the breakthrough of domestic scene cases. In the future, it is expected to accelerate the popularization of service robots, and strengthen the confidence of investment institutions in medical robots, thus contributing to the in-depth development of relevant enterprises. Wang Wei, Secretary General of the Organizing Committee of the China robot summit, said in an interview

AI service robots will usher in the golden period

Shanghai Ti Mi Robot Technology Co., Ltd., represented by disinfection robots, will put products into isolation wards, ICUs, operating rooms, fever clinics in hospitals in Wuhan, Shanghai and other places at the first time. Meal delivery robots, which have been popular for many years, are transforming in the application of medical service distribution. Service robots such as nursing, interrogation, tracking, etc. are also developing rapidly in the fight against the epidemic

in fact, in recent years, with the accelerated trend of population aging and the continued strong demand for medical treatment and education, the sales of service robots are continuously increasing. According to the 2019 world robot report released by the international robot Federation, the proportion of service robots in the sales share of all robots has been close to one third of the whole market. In the field of service robots, the sales growth of logistics system service robots is the most obvious, followed by medical robots

some insiders believe that the strong development momentum of service robots, coupled with the market demand expressed by the professor, will usher in a golden period of development

it should be seen that the next step for the development of service robots lies in their intelligent judgment and adaptability to complex scenes. At present, service robots can only replace the simple process work of medical staff. In the future, artificial intelligence technology will realize the ability of robot brain to have more big data and realize autonomous learning. It is very important to complete the transformation from auxiliary to alternative medical diagnosis of medical staff, Thus, the uneven distribution of medical resources can be solved. Wang Wei said to

Liu Hong, director of the scientific research department of the Shenzhen Research Institute of Peking University, also pointed out that the service robot requires not only autonomy and functionality, but also safety and friendliness. In the future, it also needs to truly understand users

the prospect of AI assisted image diagnosis is expected

recently, the school of telecommunications of Huazhong University of science and technology, in conjunction with Huawei cloud and other teams, developed and launched the AI assisted medical image quantitative analysis system for COVID-19. The system can greatly improve the diagnostic efficiency and help reduce the heavy load of doctors

Bai Xiang, the head of the laboratory and professor of Huazhong University of science and technology, said that combined with clinical information, the system can assist doctors to more effectively distinguish the early, progressive and severe stages of COVID-19, which is conducive to early screening and prevention and control. At the same time, for confirmed patients, based on the quantitative analysis of the image data of multiple reviews, doctors can effectively evaluate the progress of the disease and the efficacy of medication

the forecast data from IDC shows that the amount of medical data will reach 40 trillion GB in 2020, and the speed of data generation and sharing will increase rapidly, of which more than 80% of the data is unstructured data. In the face of such a rapidly growing amount of medical data, it is difficult to identify and process without the help of computer intelligent computing. The introduction of AI to assist or even replace manual pathological diagnosis and cancer screening can effectively make up for the low efficiency of manual diagnosis, the lack of pathologists, the lack of unified quality control management and other problems

at present, there are a large number of enterprises involved in the AI image-assisted diagnosis market in China, showing a pattern of hundred schools of thought contending. It is understood that in recent years, Tencent, Alibaba, iFLYTEK and other technology giants have set off a storm of long-term layout and investment in the basic AI technology among the market, enterprises, local governments and other entities. With the advantages of technology, capital and talents, they have accelerated the layout of imaging, and there is a one-year AI assisted diagnosis market; With the advantages of channels and hardware, GPS, Lianying and other medical device giants actively expand the field of artificial intelligence and seek new profit growth points for enterprises; In addition, a large number of start-ups, with the flexibility and innovation of their business models, have flourished under the popularity of capital

there is also a view that the leading enterprises in the industry have not yet appeared at this stage, and the enterprises that can find a more suitable business model and quickly occupy the market in the future will be in a leading position in the industry

AI technology has become a breakthrough in new drug research and development

during the epidemic, the proposal issued by the Ministry of industry and information technology called on all relevant units to optimize AI algorithm and computing power, and help solve drug research and development problems such as virus gene sequencing, vaccine/drug research and development, protein screening, etc

ai+ drug development has obvious advantages in time and cost compared with the traditional model. The in-depth learning and processing of AI technology can provide convenience for researchers to conduct data analysis, rapid screening of literature and corresponding testing work

according to the data report of globalmarketingsight, in the global AI medical market, the pharmaceutical research and development segment accounts for the largest share, about 35%

it is understood that there is still a large gap between China's drug research and development and the international top level, and it is very difficult to catch up. The development of artificial intelligence has brought opportunities to shorten the gap in the research and development of new drugs in China. At present, domestic enterprises such as Jingtai technology, zero krypton technology and intelligent medicine technology have made a layout and attracted a lot of capital

in addition to scientific research teams and pharmaceutical companies, some technology giants have also actively entered the AI medical market. At present, Alibaba cloud announced that it would open all AI computing power to public scientific research institutions around the world free of charge to accelerate the research and development of new pneumonia drugs and vaccines. Baidu has set up a special fund for epidemic and public health security with a total scale of 300million yuan, and provided artificial intelligence technology support, supported by 100 million computing resources, to help research institutions such as disease control institutions and scientific research institutions, whether casting rollers or 3-roll calenders, speed up vaccine research and development

in drug innovation, everyone is working hard, but it is far from enough. In the path of AI helping us find new drugs, we may still face many challenges, such as how to combine the data of various pharmaceutical companies and use more high-quality data to make better models. Lailipeng, co-founder of Jingtai technology, suggested

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