Patient perspectives on AI in radiology: Insights from the United Arab Emirates.

Journal: Clinical imaging
Published Date: Jun 11, 2025

Abstract

RATIONALE AND OBJECTIVES: Artificial intelligence (AI) enhances diagnostic accuracy, efficiency, and patient outcomes in radiology. Patient acceptance is essential for successful integration. This study examines patient perspectives on AI in radiology within the UAE, focusing on their knowledge, attitudes, and perceived barriers. Understanding these factors can address concerns, improve trust, and guide patient-centered AI implementation. The findings aim to support effective AI adoption in healthcare.

Authors

  • Mohamed Zakaria El-Sayed
    Medical Imaging Sciences, College of Health Sciences, Gulf Medical University, Ajman, United Arab Emirates.
  • Mohammad Rawashdeh
    Medical Imaging Sciences, College of Health Sciences, Gulf Medical University, Ajman, United Arab Emirates; Faculty of Health Sciences, Jordan University of Sciences and Technology, Irbid, Jordan.
  • Aysha Moossa
    Medical Imaging Sciences, College of Health Sciences, Gulf Medical University, Ajman, United Arab Emirates.
  • Maryam Atfah
    Medical Imaging Sciences, College of Health Sciences, Gulf Medical University, Ajman, United Arab Emirates.
  • B Prajna
    Medical Imaging Sciences, College of Health Sciences, Gulf Medical University, Ajman, United Arab Emirates.
  • Magdi A Ali
    Medical Imaging Sciences, College of Health Sciences, Gulf Medical University, Ajman, United Arab Emirates. Electronic address: dr.ali@gmu.ac.ae.

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