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SYSTEMATIC REVIEW article

Front. Artif. Intell.

Sec. Medicine and Public Health

Volume 8 - 2025 | doi: 10.3389/frai.2025.1518440

The Current State, Challenges, and Future Directions of Artificial Intelligence in Healthcare in Saudi Arabia: Systematic Review

Provisionally accepted
  • College of Health Sciences, Saudi Electronic University, Dammam, Saudi Arabia

The final, formatted version of the article will be published soon.

    Abstract: Background: The use of artificial intelligence has been part of the healthcare technologies used in managing various aspects of healthcare processes. In Saudi Arabia, the use of artificial intelligence for managing healthcare has been influenced by the increasing use of healthcare technologies within the healthcare system. The aim of this study is to systematically review the current state, challenges, and future directions of artifi-cial intelligence in healthcare in Saudi Arabia. Methods: The study used a systematic review methodology, which used the critical appraisal of articles on the use of artificial intelligence in healthcare. The critical ap-praisal used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Jo-anna Briggs Institute (JBI) to implement the inclusion and exclusion criteria. The initial search for articles led to 88 articles, which were screened to 13, based on the inclusion and exclusion criteria. Results: The current state of the use of artificial intelligence in Saudi’s healthcare system has been slowed down by the gradual uptake of healthcare technologies and the investments required. The main challenges identified included lack of policies to support artificial intelligence, lack of adequate capital for infrastructure and human resources and lack of cultures to accommodate the artificial intelligence in Saudi Arabia. With the current privatization and increased use of the artificial intelligence, the future of artificial intelligence in Saudi's healthcare system would see an increase in their utilization. Specific findings indicate the potential of artificial intelligence in improving clinical practice through blockchain, and that investments in artificial intelligence have encompasses various applications, including radiology. Skills gaps expected among healthcare professionals and the adoption of new technology are difficulties impacting the utilization of artificial intelligence in the healthcare sector. Conclusions: The use of artificial intelligence in Saudi's healthcare system requires the investments into infrastructure, human resource development and gradual commitments towards the healthcare technologies. The use of artificial intelligence would have benefits such as effectiveness in access to care and ability to meet the healthcare outcomes.

    Keywords: Artificial intelligence in healthcare, Future of artificial intelligence, State of Artificial Intelligence, artificial intellegence technology, Artificia lintelligence

    Received: 30 Oct 2024; Accepted: 12 Mar 2025.

    Copyright: © 2025 Al Nawees and Aljehani. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Fatima Al Nawees, College of Health Sciences, Saudi Electronic University, Dammam, Saudi Arabia

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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