Swayamsiddha Swati, Prashant Kumar, Shaw Devansh, Mohanty Chandana
School of Electronics Engineering, KIIT University, Bhubaneswar, Odisha India.
School of Computer Science, KIIT University, Bhubaneswar, Odisha India.
Health Technol (Berl). 2021;11(6):1311-1320. doi: 10.1007/s12553-021-00601-2. Epub 2021 Sep 28.
Coronavirus disease 2019 (COVID-19) is a major threat throughout the world. The latest advancements in the field of computational techniques based on Artificial Intelligence (AI), Machine Learning (ML) and Big Data can help in detecting, monitoring and forecasting the severity of the COVID-19 pandemic. We aim to review the detection of the COVID-19 pandemic empowered by AI, major implications, challenges and the future of smart health care at a glance. The AI plays a pioneering role in rapid and improved detection of the disease. It helps in modeling the disease activity and predicting the severity for better decision making and preparedness by healthcare authorities and policymakers. It is a promising technology for automatic and fully transparent monitoring system to track and treat the patients remotely without spreading the virus to others. The future application areas of AI-based healthcare are also identified. The role of AI in tackling the COVID-19 pandemic is reviewed in this paper. AI proves beneficial in early detection with improved results. It also provides solution for contact tracing, prediction, drug development thus reducing the workload of medical industry.
2019冠状病毒病(COVID-19)是全球的重大威胁。基于人工智能(AI)、机器学习(ML)和大数据的计算技术领域的最新进展有助于检测、监测和预测COVID-19大流行的严重程度。我们旨在简要回顾由人工智能推动的COVID-19大流行的检测、主要影响、挑战以及智能医疗的未来。人工智能在快速和改进疾病检测方面发挥着开创性作用。它有助于对疾病活动进行建模,并预测严重程度,以便医疗当局和政策制定者做出更好的决策和准备。对于自动且完全透明的监测系统来说,它是一项很有前景的技术,可用于远程跟踪和治疗患者,而不会将病毒传播给他人。还确定了基于人工智能的医疗保健的未来应用领域。本文综述了人工智能在应对COVID-19大流行中的作用。事实证明,人工智能在早期检测中有益且结果更佳。它还为接触者追踪、预测、药物研发提供解决方案,从而减轻了医疗行业的工作量。