Digital technology and COVID-19

By D. Ting, Lawrence Carin, V. Dzau, Tien Yin Wong. Nature Medicine, 2020

1,187 citations recorded by the source corpus.

The past decade has allowed the development of a multitude of digital tools. Now they can be used to remediate the COVID-19 outbreak.

Subfields: Artificial Intelligence, Health Information Management, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/baf6cdcdb19961b267837fb8e46d654ce9926a00

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In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life (2020, background): “…3 In the current as well as post COVID-19 scenario, role of emerging technologies such as Blockchain: a distributed ledger, Big Data, and analytics, is expected to be critical in ensuring transparency in the processes and data driven solutions (Hughes et al., 2019; Ting, Carin, Dzau, & Wong, 2020).”
A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic (2020, positive): “understand infection rates and to trace and quickly detect infections, the AI ’s power is being exploited to address the Covid-19 pandemic [4] such as the detection of COVID-19 in medical chest X-rays [5].”
A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact (2020, background): “Among them, digital technologies, including IoT, AI, blockchain, and next-generation telecommunication networks like 5G, have been at the forefront [106].”
Small business awareness and adoption of state-of-the-art technologies in emerging and developing markets, and lessons from the COVID-19 pandemic (2020, background): “…state-of-the-art technologies to digitize business activities and undertake virtual operations to enhance competitiveness, productivity, and business performance, and to ensure business survival (Akpan, Soopramanien, and Kwak 2020; Ting et al. 2020; CDC 2020; Papadopoulos, Baltas, and Balta 2020).”
Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey (2020, positive): “The majority of these new technologies implement big data analytics, the Internet of Things (IoT) with 5G, blockchain technology, and AI (with ML and DL) (Ting, Carin, Dzau, & Wong, 2020).”
Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective (2020, background): “In addition, the workflow of tele-cataract screening measured by ophthalmologist-to-population service ratio, can be further enhanced with integration of AI technology (Ting et al., 2019; Ting et al., 2020).”
Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment (2020, background): “The analyses of results enable health care policymakers to prepare their country against the outbreak of the disease and make well-informed decisions [18].”
Adoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature (2020, methodology): “Grade of innovation Health care system targets Reference ID Global Innovating Clients/patients, health care providers, health systems/resource managers, data services Zhai et al [17] Local Innovating Clients/patients, health care providers, health systems/resource managers, data services Wang W et a”
Digital Business Model, Digital Transformation, Digital Entrepreneurship: Is There A Sustainable “Digital”? (2020, background): “Digital technologies are highly interconnected, enabling and enhancing information processing capacities [37,38].”