The Role of Artificial Intelligence in Integrating Radiology and Health Informatics: Advancing Precision Medicine in Saudi Arabia Under Vision 2030
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Abstract
The integration of artificial intelligence (AI) in radiology and health informatics has the potential to revolutionize healthcare delivery and advance precision medicine. In Saudi Arabia, the Vision 2030 plan emphasizes the importance of leveraging technology and innovation to improve healthcare outcomes and achieve healthcare transformation. This systematic review aims to explore the role of AI in integrating radiology and health informatics to advance precision medicine in Saudi Arabia under Vision 2030. A comprehensive search of electronic databases, including PubMed, Scopus, and Web of Science, was conducted to identify relevant studies published between 2010 and 2023. The search strategy employed a combination of keywords related to AI, radiology, health informatics, precision medicine, and Saudi Arabia. A total of 24 studies met the inclusion criteria and were included in the review. The findings highlight the potential applications of AI in radiology, such as image analysis, diagnosis, and workflow optimization, and in health informatics, such as data integration, predictive modeling, and clinical decision support. Key factors influencing the successful integration of AI in radiology and health informatics include data quality and standardization, infrastructure and interoperability, workforce development, and ethical and legal considerations. The review also identifies challenges and barriers to the adoption of AI in healthcare, such as data privacy and security concerns, regulatory and policy issues, and cultural and organizational resistance. The findings of this review have significant implications for healthcare practice, education, and policy in Saudi Arabia, emphasizing the need for strategic initiatives to support the development and implementation of AI solutions in radiology and health informatics to advance precision medicine and achieve Vision 2030 goals.