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

• Published in: Computerized medical imaging and graphics Vol. 91; p. 101933
• Main Authors: Alhasan, Mustafa, Hasaneen, Mohamed
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01-07-2021; Elsevier Science Ltd
• Subjects: Artificial Intelligence; Computed tomography; Coronaviruses; COVID-19; Digital imaging; Digital technologies; Digital Technology; Drone aircraft; Flow charts; Health care; Healthcare; Innovations; Internet of Things; Learning algorithms; Literature reviews; Machine Learning; Medical electronics; Medical imaging; Pandemics; Robotics; SARS-CoV-2; Technology; Viral diseases; COVID-19; Healthcare; Medical imaging; Artificial intelligence; Digital technologies; Machine learning
• ISSN: 0895-6111; 1879-0771
• DOI: 10.1016/j.compmedimag.2021.101933

•Contact tracing is a mainstay public health prevention.•Natural language processing enabled clinicians to identify COVID-related pharmaceuticals.•Machine learning determined potential vaccinations.•Thoracic computed tomography surpassed the diagnostic accuracy of PCR with a clinical sensitivity of 98 %.•Modern imaging equipment utilized Artificial intelligence enabled high-resolution cameras in mobile CT units.
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.