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

Karim Sherif (), Yousef Emad Gadallah (), Khalil Ahmed (), Salma ELsayed () and Ali Wagdy Mohamed ()
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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

Chapter Chapter 4 in Decision Sciences for COVID-19, 2022, pp 67-77 from Springer

Abstract: 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.

Keywords: Covid-19; CT; Diagnosis; Machine learning; Artificial intelligence; Covid positive CT image (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-030-87019-5_4

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