Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs.

Journal: International journal of computer assisted radiology and surgery
Published Date: Feb 3, 2021

Abstract

BACKGROUND: COVID-19 pandemic has currently no vaccines. Thus, the only feasible solution for prevention relies on the detection of COVID-19-positive cases through quick and accurate testing. Since artificial intelligence (AI) offers the powerful mechanism to automatically extract the tissue features and characterise the disease, we therefore hypothesise that AI-based strategies can provide quick detection and classification, especially for radiological computed tomography (CT) lung scans.

Authors

  • Luca Saba
    Department of Radiology, A.O.U., Italy.
  • Mohit Agarwal
    Mechanical and Aerospace Engineering Rutgers University-New Brunswick Piscataway NJ 08854 USA.
  • Anubhav Patrick
    KIET Group of Institutions, Delhi-NCR, India.
  • Anudeep Puvvula
    Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, 95747, CA, USA.
  • Suneet K Gupta
    Department of Computer Science Engineering, Bennett University, India.
  • Alessandro Carriero
  • John R Laird
    UC Davis Vascular Center, University of California, Davis, CA, USA.
  • George D Kitas
    Arthritis Research UK Centre for Epidemiology, Manchester University, Manchester, UK.
  • Amer M Johri
    Division of Cardiology, Department of Medicine, Queen's University, Kingston, ON, Canada.
  • Antonella Balestrieri
    Department of Radiology, A.O.U., Italy.
  • Zeno Falaschi
    Department of Radiology, A.O.U, "Maggiore d.c." Universiy of Eastern Piedmont, Novara, Italy.
  • Alessio Paschè
    Department of Radiology, A.O.U, "Maggiore d.c." Universiy of Eastern Piedmont, Novara, Italy.
  • Vijay Viswanathan
    MV Hospital for Diabetes and Professor M Viswanathan Diabetes Research Centre, Chennai, India.
  • Ayman El-Baz
    Bioengineering Department, The University of Louisville, Louisville, KY, USA.
  • Iqbal Alam
    Department of Physiology, HIMSR, Jamia Hamdard, New Delhi, India.
  • Abhinav Jain
    Department of Radiology, HIMSR, Jamia Hamdard, New Delhi, India.
  • Subbaram Naidu
    Electrical Engineering Department, University of Minnesota, Duluth, 55801, MN, USA.
  • Ronald Oberleitner
    Behavior Imaging, Boise, 83701, ID, USA.
  • Narendra N Khanna
    Cardiology Department, Apollo Hospitals, New Delhi, India.
  • Arindam Bit
    Department of Biomedical Engineering, National Institute of Technology, Raipur, India.
  • Mostafa Fatemi
    Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, MN, 55902, USA.
  • Azra Alizad
    Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN, 55902, USA.
  • Jasjit S Suri
    Advanced Knowledge Engineering Center, Global Biomedical Technologies, Inc., Roseville, CA, USA. Electronic address: jsuri@comcast.net.

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