3.COVID-19: why not learn from the past?
Elena ZOCCHI ; Giuseppe TERRAZZANO
Frontiers of Medicine 2021;15(5):776-781
COVID-19
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Humans
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SARS-CoV-2
4.Severe Type of COVID-19: Pathogenesis, Warning Indicators and Treatment.
Ke SHI ; Yao LIU ; Qun ZHANG ; Chong-Ping RAN ; Jie HOU ; Yi ZHANG ; Xian-Bo WANG
Chinese journal of integrative medicine 2022;28(1):3-11
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2, is a major public health issue. The epidemic is unlikely to be contained until the global launch of safe and effective vaccines that could prevent serious illnesses and provide herd immunity. Although most patients have mild flu-like symptoms, some develop severe illnesses accompanied by multiple organ dysfunction. The identification of pathophysiology and early warning biomarkers of a severe type of COVID-19 contribute to the treatment and prevention of serious complications. Here, we review the pathophysiology, early warning indicators, and effective treatment of Chinese and Western Medicine for patients with a severe type of COVID-19.
COVID-19
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Humans
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SARS-CoV-2
5.Application of AI Technology in Diagnosis and Treatment of COVID-19.
Chinese Journal of Medical Instrumentation 2021;45(4):372-375
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
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Artificial Intelligence
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COVID-19
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Humans
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SARS-CoV-2
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Technology
6.The Policy and Practice of Medical Device Emergency Approval at the Local Level under the Circumstance of COVID-19 Disease.
Shu YAN ; Juan CHEN ; Zhaolian OUYANG
Chinese Journal of Medical Instrumentation 2021;45(4):429-433
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
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Device Approval
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Humans
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Policy
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SARS-CoV-2
9.Practical exploration on the Online Four-step Teaching of Encouraging and Sharing during COVID-19 period.
Ting-Huai WANG ; Xiao-Dan XU ; Jie-Hao LI
Acta Physiologica Sinica 2020;72(6):716-723
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
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Humans
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Learning
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Motivation
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Pandemics
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SARS-CoV-2