Attitudes and Awareness of Medical Students Toward Teleradiology and the Application of Artificial Intelligence in Diagnostic Radiology: A Cross-Sectional Study.

Journal: Journal of medical education and curricular development
Published Date: Jul 20, 2025

Abstract

RATIONALE AND OBJECTIVES: Teleradiology and artificial intelligence (AI) have emerged as important tools for facilitating healthcare workers in diagnosing, treating, and preventing diseases. They can also be used in the analysis of X-ray images, magnetic resonance imaging, and computed tomography scans. This study delves into the perceptions of medical students at Imam Abdulrahman University (IAU) regarding the role of AI and teleradiology. The findings also shed light on the opinions of medical students at the IAU regarding the potential augmentation and replacement of radiologists with AI.

Authors

  • Afnan AlMuhanna
    Department of Radiology, King Fahad University Hospital, Khobar 34445, Saudi Arabia.
  • Danyah Almohsen
    Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
  • Deem AlSultan
    Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
  • Deemah Alhuraish
    Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
  • Farah AlRatrout
    Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
  • Rabab Alzanadi
    Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
  • Rana Abbas
    Batterjee Medical College, Jeddah, Saudi Arabia.

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