Assessing the Impact of Artificial Intelligence Applications on Diagnostic Accuracy in Saudi Arabian Healthcare: A Systematic Review
الإصدار الثاني والثلاثون من المجلة العلمية لنشر البحوث
تم نشر الإصدار الثاني والثلاثون من المجلة العمية لنشر البحوث في: 1-10 -2024م. يحتوي الإصدار على بعض الأبحاث في مختلف التخصصات، كما أن الإصدار قد تناول العديد من المشاكل البحثية المهمه التي تشكل أهمية وفائدة كبيرة للمجتمع العلمي والمعرفي. جميع الأبحاث متاحة للتحميل والتعقيب والاستشهاد المرجعي لكافة الباحثين والأكاديميين.
الأبحاث والأوراق العلمية:
Name: Moutaz A. Alqurashi1
Name: Salah S. Alshagrawi2
Al-Kharj Armed Forces Hospitals, Al-Kharj, Saudi Arabia
Department of Public Health, College of Health Sciences, Saudi Electronic University, Riyadh, Saudi Arabia
Assessing the Impact of Artificial Intelligence Applications on Diagnostic Accuracy in Saudi Arabian Healthcare: A Systematic Review
Abstract
Artificial Intelligence (AI) has become a disruptive force with great potential to revolutionize healthcare. The integration of Artificial Intelligence in healthcare practices and its use in areas such as the detection and diagnosis of diseases has led to an increased interest in this topic and this has been key in informing this study research to determine its effect on diagnostic accuracy.
The study employed a structured and systematic search strategy in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria. Three databases were used to identify the articles, including PubMed, Embase and CINAHL. The search for relevant articles linked to the impact of AI applications on diagnostic accuracy in the KSA healthcare sector was narrowed down to articles published between 2013 and 2023. This step generated 450 articles which were further evaluated based on the inclusion criteria of the study to narrow down to 12 articles for analysis.
11 out of 12 studies were conducted between 2020 and 2023 indicating that the last three years have witnessed the largest number of studies on artificial intelligence. The included studies were conducted in KSA and within different hospitals. The studies included 7 cross-sectional studies, 3 observational studies (1 retrospective study), 1 experimental study, and 1 randomized controlled trial (RCT). They all show that the use of AI has been increasing in healthcare, and its use is enhancing the overall healthcare outcomes and is helpful in a wide variety of diseases and conditions, including chronic diseases.
The models have shown that the use of AI is capable of enhancing diagnostics and treatment quality, which can be essential in planning for preventing care in line with Vision 2030. Hence, the findings of this systematic review contribute to a better understanding of the role of AI applications on diagnostic accuracy in Saudi Arabia’s Healthcare and offer insights applicable to regions facing similar challenges.