Current Landscape of Imaging and the Potential Role for Artificial Intelligence in the Management of COVID-19

Shaikh, Faiq; Andersen, Michael Brun; Sohail, M. Rizwan; Mulero, Francisca; Awan, Omer A.; Dupont-Roettger, Diana; Kubassova, Olga; Dehmeshki, Jamshid; Bisdas, Sotirios

doi:10.1067/j.cpradiol.2020.06.009

Cited by 27 publications

(30 citation statements)

References 42 publications

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“…PCR swabs surfaced as abstract instrumentations in discrete COVID-19 diagnostics except for disparate detection accuracy depending on the sample quality, storage, and manual handling ( Shi et al, 2020 ). Medical imaging rose to compensate for PCR tests discrepancies and impede the chain of transmission of COVID-19 ( Shaikh et al, 2020 ). Radiographic imaging modalities contribute to the observation of disease progression ( Greenspan et al, 2020 ) by using radiographic image evidence to support frontline responders in establishing a diagnostic strategy compatible with the presented patient data ( Shi et al, 2020 ).…”

Section: Resultsmentioning

confidence: 99%

“…The biological reproduction stimulates an immune response that damages the lungs and finalizes the evolution of COVID-19. This unique molecular composition attributes the signature biological transmutation of COVID-19 ( Shaikh et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

“…Asymptomatic transmissibility is feasible in COVID-19 patients with an appraised incubation period of 2-14 days. Hence, increasing the threat of the virus and the scope of contamination within the infected demographics ( Shaikh et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

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Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic

Alhasan

Hasaneen²

2021

Computerized Medical Imaging and Graphics

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The advancement of technology remained an immersive interest for humankind throughout the past decades. Tech enterprises offered a stream of innovation to address the universal healthcare concerns. The novel coronavirus holds a substantial foothold of planet earth which is combatted by digital interventions across afflicted geographical boundaries and territories. This study aims to explore the trends of modern healthcare technologies and Artificial Intelligence (AI) during COVID-19 crisis, define the concepts and clinical role of AI in the mitigation of COVID-19, investigate and correlate the efficacy of AI-enabled technology in medical imaging during COVID-19 and determine advantages, drawbacks, and challenges of artificial intelligence during COVID-19 pandemic. The paper applied systematic review approach using a deliberated research protocol and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow chart. Digital technologies can coordinate COVID-19 responses in a cascade fashion that extends from the clinical care facility to the exterior of the pending viral epicenter. With cases of healthcare robotics, aerial drones, and the internet of things as evidentiary examples. PCR tests and medical imaging are the frontier diagnostics of COVID-19. Computed tomography helped to correct the accuracy variation of PCR tests at a clinical sensitivity of 98%. Artificial intelligence can enable autonomous COVID-19 responses using techniques like machine learning. Technology could be an endless system of innovation and opportunities when sourced effectively. Scientists can utilize technology to resolve global concerns challenging the history of tangible possibility. Digital interventions have enhanced the responses to COVID-19, magnified the role of medical imaging amid the COVID-19 crisis and have exposed healthcare professionals to the opportunity of contactless care.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic

Alhasan

Hasaneen²

2021

Computerized Medical Imaging and Graphics

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“…A review on machine learning algorithms in processing medical images regarding the disease can be found in [26] . A review on AI approaches on management of covid-19 can be found in [27] . In [28] , a review on data-driven methods for monitoring, modeling and forecasting the pandemic is presented.…”

Section: Introductionmentioning

confidence: 99%

Applications of artificial intelligence in battling against covid-19: A literature review

2021

Chaos, Solitons & Fractals

156

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“…Some articles reviewed only specific type of data set, such as Jalaber et al [ 48 ] set forth with role of CT images to handle COVID-19 suspected patients at large, severity signs and presentation of lesions, and in the end inspected five articles to describe the role of AI for COVID-19 diagnosis. Shaikh et al [ 49 ] investigated AI approaches and landscape of radiographic imaging modalities (CXR, CT and PET) in few articles with limited information about obtained results. Likewise, Dong et al [ 50 ] mainly highlighted CT and PET-CT imaging characteristics presented in different articles and later compared the AI techniques implemented for COVID-19 detection, while Shi et al [ 51 ] accentuated AI approaches to diagnose COVID-19 that segments CXR and CT images.…”

Section: Introductionmentioning

confidence: 99%

COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review

Rasheed

Jamıl

Hameed

et al. 2021

Interdiscip Sci Comput Life Sci

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Graphic abstract The recent COVID-19 pandemic, which broke at the end of the year 2019 in Wuhan, China, has infected more than 98.52 million people by today (January 23, 2021) with over 2.11 million deaths across the globe. To combat the growing pandemic on urgent basis, there is need to design effective solutions using new techniques that could exploit recent technology, such as machine learning, deep learning, big data, artificial intelligence, Internet of Things, for identification and tracking of COVID-19 cases in near real time. These technologies have offered inexpensive and rapid solution for proper screening, analyzing, prediction and tracking of COVID-19 positive cases. In this paper, a detailed review of the role of AI as a decisive tool for prognosis, analyze, and tracking the COVID-19 cases is performed. We searched various databases including Google Scholar, IEEE Library, Scopus and Web of Science using a combination of different keywords consisting of COVID-19 and AI. We have identified various applications, where AI can help healthcare practitioners in the process of identification and monitoring of COVID-19 cases. A compact summary of the corona virus cases are first highlighted, followed by the application of AI. Finally, we conclude the paper by highlighting new research directions and discuss the research challenges. Even though scientists and researchers have gathered and exchanged sufficient knowledge over last couple of months, but this structured review also examined technological perspectives while encompassing the medical aspect to help the healthcare practitioners, policymakers, decision makers, policymakers, AI scientists and virologists to quell this infectious COVID-19 pandemic outbreak.

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Current Landscape of Imaging and the Potential Role for Artificial Intelligence in the Management of COVID-19

Cited by 27 publications

References 42 publications

Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic

Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic

Applications of artificial intelligence in battling against covid-19: A literature review

COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review

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