Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19878, first published .
Application of an Artificial Intelligence Trilogy to Accelerate Processing of Suspected Patients With SARS-CoV-2 at a Smart Quarantine Station: Observational Study

Application of an Artificial Intelligence Trilogy to Accelerate Processing of Suspected Patients With SARS-CoV-2 at a Smart Quarantine Station: Observational Study

Application of an Artificial Intelligence Trilogy to Accelerate Processing of Suspected Patients With SARS-CoV-2 at a Smart Quarantine Station: Observational Study

Journals

  1. Goldust Y, Sameem F, Mearaj S, Gupta A, Patil A, Goldust M. COVID‐19 and artificial intelligence: Experts and dermatologists perspective. Journal of Cosmetic Dermatology 2023;22(1):11 View
  2. Alonso A, Peña A, Martínez F. Autonomous identification of high-contact surfaces from convolutional neural networks. Journal of Physics: Conference Series 2021;2135(1):012001 View
  3. Li D, Pehrson L, Lauridsen C, Tøttrup L, Fraccaro M, Elliott D, Zając H, Darkner S, Carlsen J, Nielsen M. The Added Effect of Artificial Intelligence on Physicians’ Performance in Detecting Thoracic Pathologies on CT and Chest X-ray: A Systematic Review. Diagnostics 2021;11(12):2206 View
  4. Ortíz-Barrios M, Coba-Blanco D, Alfaro-Saíz J, Stand-González D. Process Improvement Approaches for Increasing the Response of Emergency Departments against the COVID-19 Pandemic: A Systematic Review. International Journal of Environmental Research and Public Health 2021;18(16):8814 View
  5. Ahuja V, Nair L. Artificial Intelligence and technology in COVID Era. Journal of Anaesthesiology Clinical Pharmacology 2021;37(1):28 View