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Role of Artificial Intelligence in Diagnosis of Covid-19 Using CT-Scan

In: Decision Sciences for COVID-19

Author

Listed:
  • Karim Sherif

    (School of Information Technology and Computer Science, Nile University)

  • Yousef Emad Gadallah

    (School of Information Technology and Computer Science, Nile University)

  • Khalil Ahmed

    (School of Information Technology and Computer Science, Nile University)

  • Salma ELsayed

    (School of Information Technology and Computer Science, Nile University)

  • Ali Wagdy Mohamed

    (Cairo University
    School of Engineering and Applied Sciences, Nile University)

Abstract

Machine learning (ML) and deep learning (DL) have been broadly used in our daily lives in different ways. Early detection of COVID-19 built on chest Computerized tomography CT empowers suitable management of patients and helps control the spread of the disease. We projected an artificial intelligence (AI) system for rapid COVID-19 detection using analysis of CTs of COVID-19 depending on the AI system. We developed and evaluated our system on a large dataset with more than 3000 CT volumes from COVID-19, viral community-acquired pneumonia (CAP) and non-pneumonia subjects—1601 positive cases, 1626 negative cases.

Suggested Citation

  • Karim Sherif & Yousef Emad Gadallah & Khalil Ahmed & Salma ELsayed & Ali Wagdy Mohamed, 2022. "Role of Artificial Intelligence in Diagnosis of Covid-19 Using CT-Scan," International Series in Operations Research & Management Science, in: Said Ali Hassan & Ali Wagdy Mohamed & Khalid Abdulaziz Alnowibet (ed.), Decision Sciences for COVID-19, chapter 0, pages 67-77, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-87019-5_4
    DOI: 10.1007/978-3-030-87019-5_4
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