The current state, challenges, and future directions of artificial intelligence in healthcare in Saudi Arabia: systematic review.

IF 3 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Frontiers in Artificial Intelligence Pub Date : 2025-04-07 eCollection Date: 2025-01-01 DOI:10.3389/frai.2025.1518440
Najla M Aljehani, Fatima E Al Nawees
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引用次数: 0

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 artificial 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 appraisal used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Joanna 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.

Conclusion: 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.

沙特阿拉伯医疗保健领域人工智能的现状、挑战和未来方向:系统综述。
背景:人工智能的使用已经成为医疗保健技术的一部分,用于管理医疗保健流程的各个方面。在沙特阿拉伯,人工智能管理医疗保健的使用受到医疗保健系统内越来越多地使用医疗保健技术的影响。本研究的目的是系统地回顾沙特阿拉伯医疗保健领域人工智能的现状、挑战和未来方向。方法:本研究采用系统评价方法,对医疗保健中使用人工智能的文章进行批判性评价。批判性评估使用系统评价和荟萃分析首选报告项目(PRISMA)和乔安娜布里格斯研究所(JBI)来实施纳入和排除标准。最初搜索到88篇文章,根据纳入和排除标准筛选到13篇。结果:人工智能在沙特医疗系统中的使用现状已经被逐渐采用的医疗技术和所需的投资所减缓。确定的主要挑战包括缺乏支持人工智能的政策,缺乏足够的基础设施和人力资源资金,以及沙特阿拉伯缺乏适应人工智能的文化。随着目前人工智能的私有化和使用的增加,人工智能在沙特医疗保健系统中的应用将会增加。具体的研究结果表明,人工智能在通过b区块链改善临床实践方面具有潜力,对人工智能的投资涵盖了包括放射学在内的各种应用。预计医疗保健专业人员之间的技能差距和新技术的采用是影响人工智能在医疗保健部门利用的困难。结论:人工智能在沙特医疗保健系统中的应用需要对基础设施、人力资源开发和医疗保健技术的逐步承诺进行投资。使用人工智能将带来许多好处,例如在获得护理方面的有效性和实现医疗保健结果的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.10
自引率
2.50%
发文量
272
审稿时长
13 weeks
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