COVID-19 ; Humans ; Pandemics ; SARS-CoV-2

COVID-19 ; Humans ; Philosophy ; SARS-CoV-2

COVID-19 ; Humans ; Immunity, Cellular ; Immunity, Humoral ; SARS-CoV-2

OBJECTIVE: To analyze the role of artificial intelligence technology in the diagnosis and treatment of the COVID-19. METHODS: To study the application progress and characteristics of artificial intelligence technology in CT image diagnosis, routine outpatient data diagnosis and complication prediction of COVID-19, and analyze the performance of the algorithm and the clinical benefits obtained in the process of diagnosis and treatment. RESULTS: The performance of artificial intelligence technology in assisted diagnosis of the diagnosis and prediction of complications is relatively satisfactory. CONCLUSIONS Artificial intelligence technology can help medical institutions effectively alleviate the shortage of medical resources, improve diagnosis efficiency and treatment quality in the COVID-19 epidemic. Related models have good clinical application value.
Algorithms ; Artificial Intelligence ; COVID-19 ; Humans ; SARS-CoV-2 ; Technology

This research analyzed Chinese emergency approval policies and practices of medical devices at the local level under the circumstance of COVID-19 disease. The legal basis and administrative system were clarified, the implementation and characteristics of emergency approval policies were investigated, the products information including total approved number, product type and license's validity period were counted. Advices as enhancing the standardization of emergency approval system, strengthening registration guidance and optimize information disclose and management were provided.
COVID-19 ; Device Approval ; Humans ; Policy ; SARS-CoV-2

The COVID-19 pandemic has caused numerous deaths around the world. A growing body of evidence points to the important role of overwhelming inflammatory responses in the pathogenesis of COVID-19 and the effectiveness of anti-inflammation therapy against COVID-19 is emerging. In addition to affecting the lungs, COVID-19 can be a severe systemic inflammatory disease that is related to endothelial dysfunction. We are calling for closer attention to endothelial dysfunction in COVID-19 not only for fully revealing the pathogenic mechanism of COVID-19 but also for properly adjusting the strategy of clinical intervention.
COVID-19 ; Endothelium ; Humans ; Inflammation ; Pandemics ; SARS-CoV-2

COVID-19/therapy* ; Consensus ; Critical Illness ; Humans ; SARS-CoV-2

The "Four-step Teaching of Encouraging and Sharing" is a learner-centered teaching method that advocates teamwork and gives full play to the role of the teacher in guiding learning. It is an innovative teaching approach to realize students' self-transcendence by stimulating students' internal motivation for independent learning, applying group task-driven learning, and giving teachers' feedback to students' sharing. It consists of four steps: teachers' guiding, students' self-regulated learning, team learning and practice, experience sharing. We have applied this method to the teaching practice of physiology and experimental physiological science with a significant impact on teaching effects. This teaching method has also been implemented to other courses in other majors. To solve the problems of reduced communication and interaction, low learning enthusiasm and motivation in online teaching course during COVID-19 pandemic, we recruited 21 undergraduates from different schools and majors. Using the "Tencent Meeting" platform, the authors tried to apply the whole process of the "Four-step Teaching of Encouraging and Sharing" to the online teaching of physiology. Group tests and questionnaires were used to evaluate teaching effects. The results showed that the implementation of the "Online Four-step Teaching of Encouraging and Sharing (OFST)" was feasible and effective, and to a certain extent alleviated the problems of loneliness and low learning motivation of students during online learning caused by home quarantine, which was particularly helpful for long-distance inter-school and inter-discipline team learning.
COVID-19 ; Humans ; Learning ; Motivation ; Pandemics ; SARS-CoV-2

COVID-19/virology* ; Humans ; Pandemics ; SARS-CoV-2/physiology*

In order to understand the evolution of the diagnosis and treatment plans of corona virus disease 2019 (COVID-19), and provide convenience for medical staff in actual diagnosis and treatment, this paper uses the 9 diagnosis and treatment plans of COVID-19 issued by the National Health Commission during the period from January 26, 2020 to August 19, 2020 as research data to perform comparative analysis and visual analysis. Based on text mining, this paper obtained the text similarity and summarized its evolution law by expressing and measuring the similarity of the overall diagnosis and treatment plans of COVID-19 and the same modules, which provides reference for clinical diagnosis and treatment practice and other diagnosis and treatment plan formulation.
COVID-19 ; Data Mining ; Humans ; SARS-CoV-2