Research ArticleOriginal Articles
Open Access
Artificial intelligence in radiology
Are Saudi residents ready, prepared, and knowledgeable?
Mawya A. Khafaji, Mohammed A. Safhi, Roia H. Albadawi, Salma O. Al-Amoudi, Salah S. Shehata and Fadi Toonsi
Saudi Medical Journal January 2022, 43 (1) 53-60; DOI: https://doi.org/10.15537/smj.2022.43.1.20210337
Mawya A. Khafaji
From the Department of Radiology (Khafaji, Toonsi), Faculty of Medicine, King Abdulaziz University, from the Department of Radiodiagnostics and Medical Imaging (Albadawi), King Abdulaziz Medical City, from the Department of Radiodiagnostics and Medical Imaging (Shehata), King Faisal Specialist Hospital and Research Centre, Jeddah, and from the Department of Radiodiagnostics and Medical Imaging (Al-Amoudi, Safhi), Prince Sultan Military Medical City, Riyadh, Kingdom of Saudi Arabia.
PhDMohammed A. Safhi
From the Department of Radiology (Khafaji, Toonsi), Faculty of Medicine, King Abdulaziz University, from the Department of Radiodiagnostics and Medical Imaging (Albadawi), King Abdulaziz Medical City, from the Department of Radiodiagnostics and Medical Imaging (Shehata), King Faisal Specialist Hospital and Research Centre, Jeddah, and from the Department of Radiodiagnostics and Medical Imaging (Al-Amoudi, Safhi), Prince Sultan Military Medical City, Riyadh, Kingdom of Saudi Arabia.
MBBSRoia H. Albadawi
From the Department of Radiology (Khafaji, Toonsi), Faculty of Medicine, King Abdulaziz University, from the Department of Radiodiagnostics and Medical Imaging (Albadawi), King Abdulaziz Medical City, from the Department of Radiodiagnostics and Medical Imaging (Shehata), King Faisal Specialist Hospital and Research Centre, Jeddah, and from the Department of Radiodiagnostics and Medical Imaging (Al-Amoudi, Safhi), Prince Sultan Military Medical City, Riyadh, Kingdom of Saudi Arabia.
MBBSSalma O. Al-Amoudi
From the Department of Radiology (Khafaji, Toonsi), Faculty of Medicine, King Abdulaziz University, from the Department of Radiodiagnostics and Medical Imaging (Albadawi), King Abdulaziz Medical City, from the Department of Radiodiagnostics and Medical Imaging (Shehata), King Faisal Specialist Hospital and Research Centre, Jeddah, and from the Department of Radiodiagnostics and Medical Imaging (Al-Amoudi, Safhi), Prince Sultan Military Medical City, Riyadh, Kingdom of Saudi Arabia.
MBBSSalah S. Shehata
From the Department of Radiology (Khafaji, Toonsi), Faculty of Medicine, King Abdulaziz University, from the Department of Radiodiagnostics and Medical Imaging (Albadawi), King Abdulaziz Medical City, from the Department of Radiodiagnostics and Medical Imaging (Shehata), King Faisal Specialist Hospital and Research Centre, Jeddah, and from the Department of Radiodiagnostics and Medical Imaging (Al-Amoudi, Safhi), Prince Sultan Military Medical City, Riyadh, Kingdom of Saudi Arabia.
MBBSFadi Toonsi
From the Department of Radiology (Khafaji, Toonsi), Faculty of Medicine, King Abdulaziz University, from the Department of Radiodiagnostics and Medical Imaging (Albadawi), King Abdulaziz Medical City, from the Department of Radiodiagnostics and Medical Imaging (Shehata), King Faisal Specialist Hospital and Research Centre, Jeddah, and from the Department of Radiodiagnostics and Medical Imaging (Al-Amoudi, Safhi), Prince Sultan Military Medical City, Riyadh, Kingdom of Saudi Arabia.
MBBS, FRCPC.
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Artificial intelligence in radiology
Mawya A. Khafaji, Mohammed A. Safhi, Roia H. Albadawi, Salma O. Al-Amoudi, Salah S. Shehata, Fadi Toonsi
Saudi Medical Journal Jan 2022, 43 (1) 53-60; DOI: 10.15537/smj.2022.43.1.20210337
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