Diagnosis of coronavirus disease 2019 and the potential role of deep learning: insights from the experience of Cairo University Hospitals.

Journal: The Journal of international medical research
PMID: 35861236

Abstract

OBJECTIVES: Early detection of coronavirus disease 2019 (COVID-19) is crucial for patients and public health to ensure pandemic control. We aimed to correlate clinical and laboratory data of patients with COVID-19 and their polymerase chain reaction (PCR) results and to assess the accuracy of a deep learning model in diagnosing COVID-19.

Authors

  • Marwa M Ahmed
    Cairo University, Cairo, Egypt.
  • Amal M Sayed
    Cairo University, Cairo, Egypt.
  • Dina El Abd
    Department of Clinical & Chemical Pathology, Kasralainy, Faculty of Medicine, Cairo University, Cairo, Egypt.
  • Inas T El Sayed
    Cairo University, Cairo, Egypt.
  • Yasmine S Elkholy
    Cairo University, Cairo, Egypt.
  • Ahmed H Fares
    Benha University, Cairo, Egypt.
  • Samar Fares
    Cairo University, Cairo, Egypt.

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