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AI-based implementation of decisive technology for prevention and fight with COVID-19
The COVID-19 pandemic presents the Artificial Intelligence (AI) community with many obstacles. Healthcare organizations are in desperate need of technology for decision-making to tackle this virus and allow them to get timely feedback in real-time to prevent its spread. With the epidemic now being a...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9261731/ http://dx.doi.org/10.1016/B978-0-12-824557-6.00008-X |
Sumario: | The COVID-19 pandemic presents the Artificial Intelligence (AI) community with many obstacles. Healthcare organizations are in desperate need of technology for decision-making to tackle this virus and allow them to get timely feedback in real-time to prevent its spread. With the epidemic now being a global pandemic, AI tools and technology can be used to help efforts by governments, the medical community, and society as a whole to handle every stage of the crisis and its aftermath: identification, prevention, response, recovery, and acceleration of science. AI works to simulate human intellect professionally. This outcome-based technology is used to better scan, evaluate, forecast, and monitor current patients and probable patients in the future. In this proposed study, for global pandemic COVID-19, we are aiming to incorporate AI-based preventive measures such as face mask detection and image-based computed tomography scans using advanced deep learning models. |
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