Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20756, first published .
Artificial Intelligence in the Fight Against COVID-19: Scoping Review

Artificial Intelligence in the Fight Against COVID-19: Scoping Review

Artificial Intelligence in the Fight Against COVID-19: Scoping Review

Journals

  1. Abd-alrazaq A, Alajlani M, Alhuwail D, Erbad A, Giannicchi A, Shah Z, Hamdi M, Househ M. Blockchain technologies to mitigate COVID-19 challenges: A scoping review. Computer Methods and Programs in Biomedicine Update 2021;1:100001 View
  2. Abd-Alrazaq A, Schneider J, Mifsud B, Alam T, Househ M, Hamdi M, Shah Z. A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis. Journal of Medical Internet Research 2021;23(3):e23703 View
  3. Kumar V, Singh D, Kaur M, Damaševičius R. Overview of current state of research on the application of artificial intelligence techniques for COVID-19. PeerJ Computer Science 2021;7:e564 View
  4. Abd-Alrazaq A, Hassan A, Abuelezz I, Ahmed A, Alzubaidi M, Shah U, Alhuwail D, Giannicchi A, Househ M. An overview of technologies implemented during the first wave of COVID-19: A scoping review (Preprint). Journal of Medical Internet Research 2021 View
  5. Valtchev S, Asgary A, Chen M, Cronemberger F, Najafabadi M, Cojocaru M, Wu J. Managing SARS-CoV-2 Testing in Schools with an Artificial Intelligence Model and Application Developed by Simulation Data. Electronics 2021;10(14):1626 View
  6. Adadi A, Lahmer M, Nasiri S. Artificial Intelligence and COVID-19: A Systematic umbrella review and roads ahead. Journal of King Saud University - Computer and Information Sciences 2021 View
  7. Alzubaidi M, Zubaydi H, Bin-Salem A, Abd-Alrazaq A, Ahmed A, Househ M. Role of deep learning in early detection of COVID-19: Scoping review. Computer Methods and Programs in Biomedicine Update 2021;1:100025 View