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Review
. 2024 Dec 24;7(12):e70300.
doi: 10.1002/hsr2.70300. eCollection 2024 Dec.

A Systematic Review of the Outcomes of Utilization of Artificial Intelligence Within the Healthcare Systems of the Middle East: A Thematic Analysis of Findings

Mohsen Khosravi  1 , Seyyed Morteza Mojtabaeian  2 , Emine Kübra Dindar Demiray  3 , Burak Sayar  4
Affiliations
Review

A Systematic Review of the Outcomes of Utilization of Artificial Intelligence Within the Healthcare Systems of the Middle East: A Thematic Analysis of Findings

Mohsen Khosravi et al. Health Sci Rep. .

Abstract

Background and aims: The rapid expansion of artificial intelligence (AI) within worldwide healthcare systems is occurring at a significant rate. In this context, the Middle East has demonstrated distinctive characteristics in the application of AI within the healthcare sector, particularly shaped by regional policies. This study examined the outcomes resulting from the utilization of AI within healthcare systems in the Middle East.

Methods: A systematic review was conducted across several databases, including PubMed, Scopus, ProQuest, and the Cochrane Database of Systematic Reviews in 2024. The quality assessment of the included studies was conducted using the Authority, Accuracy, Coverage, Objectivity, Date, Significance checklist. Following this, a thematic analysis was carried out on the acquired data, adhering to the Boyatzis approach.

Results: 100 papers were included. The quality and bias risk of the included studies were delineated to be within an acceptable range. Multiple themes were derived from the thematic analysis including: "Prediction of diseases, their diagnosis, and outcomes," "Prediction of organizational issues and attributes," "Prediction of mental health issues and attributes," "Prediction of polypharmacy and emotional analysis of texts," "Prediction of climate change issues and attributes," and "Prediction and identification of success and satisfaction among healthcare individuals."

Conclusion: The findings emphasized AI's significant potential in addressing prevalent healthcare challenges in the Middle East, such as cancer, diabetes, and climate change. AI has the potential to overhaul the healthcare systems. The findings also highlighted the need for policymakers and administrators to develop a concrete plan to effectively integrate AI into healthcare systems.

Keywords: artificial intelligence; data mining; deep learning; health policy; machine learning.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Preferred reporting items for systematic reviews diagram of the systematic review [18].
Figure 2
Figure 2
Countries in which the included studies were conducted.
Figure 3
Figure 3
Distribution of each theme of the thematic analysis among the included studies.
See this image and copyright information in PMC

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References

    1. Amisha A., Malik P., Pathania M., and Rathaur V., “Overview of Artificial Intelligence in Medicine,” Journal of Family Medicine and Primary Care 8, no. 7 (2019): 2328–2331, 10.4103/jfmpc.jfmpc_440_19. - DOI - PMC - PubMed
    1. Kiester L. and Turp C., “Artificial Intelligence Behind the Scenes: PubMed's Best Match Algorithm,” Journal of the Medical Library Association 110, no. 1 (2022): 15–22, 10.5195/jmla.2022.1236. - DOI - PMC - PubMed
    1. Zuhair V., Babar A., Ali R., et al., “Exploring the Impact of Artificial Intelligence on Global Health and Enhancing Healthcare in Developing Nations,” Journal of Primary Care & Community Health 15 (2024): 21501319241245847, 10.1177/21501319241245847. - DOI - PMC - PubMed
    1. Hadley T. D., Pettit R. W., Malik T., Khoei A. A., and Salihu H. M., “Artificial Intelligence in Global Health ‐A Framework and Strategy for Adoption and Sustainability,” International Journal of Maternal and Child Health and AIDS (IJMA) 9, no. 1 (2020): 121–127, 10.21106/ijma.296. - DOI - PMC - PubMed
    1. Bohr A. and Memarzadeh K., “The Rise of Artificial Intelligence in Healthcare Applications,” Artificial Intelligence in Healthcare. Published ahead of print, June 26, 2020, 10.1016/b978-0-12-818438-7.00002-2. - DOI

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