The Impediments to Advancing Artificial Intelligence in Healthcare within the Middle Eastern Context: A Critical Examination

The Impediments to Advancing Artificial Intelligence in Healthcare within the Middle Eastern Context: A Critical Examination

Authors

  • Hadi Mansour

Abstract

This paper critically examines the impediments to advancing artificial intelligence (AI) in healthcare within the Middle Eastern context. Despite the transformative potential of AI to enhance healthcare delivery, diagnosis, treatment, and patient care, the Middle East faces unique challenges that hinder its widespread adoption and effective utilization. These challenges stem from a combination of socio-economic, technological, regulatory, and cultural factors. The paper identifies and analyzes key impediments, including the scarcity of high-quality data, limited infrastructural capabilities, regulatory and ethical considerations, a shortage of skilled professionals, and concerns regarding privacy and security. Furthermore, it discusses the implications of these obstacles on the region's healthcare systems and suggests strategic approaches to mitigate them, emphasizing the need for robust frameworks, cross-sector collaboration, and capacity building. By offering a comprehensive understanding of these challenges, the paper aims to contribute to the ongoing discourse on leveraging AI to revolutionize healthcare in the Middle East, fostering an environment conducive to innovation and improved patient outcomes.

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Published

2022-01-25

How to Cite

Mansour, H. (2022). The Impediments to Advancing Artificial Intelligence in Healthcare within the Middle Eastern Context: A Critical Examination. Journal of Advanced Analytics in Healthcare Management, 6(1), 58–65. Retrieved from https://research.tensorgate.org/index.php/JAAHM/article/view/105
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