Radiomics and Deep Learning in Diagnostic Imaging: Potential for Personalized Medicine in Saudi Arabia
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Abstract
Radiomics and deep learning represent transformative approaches to diagnostic imaging analysis with significant implications for personalized medicine. This comprehensive review examines the current state and future potential of these technologies within the Saudi Arabian healthcare context. Radiomics involves the high-throughput extraction of quantitative features from medical images to identify patterns associated with underlying pathophysiology, molecular characteristics, and clinical outcomes. Deep learning applies multilayered neural networks to automatically learn hierarchical representations from imaging data, enabling complex pattern recognition beyond human visual perception. The integration of these complementary approaches offers unprecedented opportunities for diagnostic precision, prognostic stratification, and treatment response prediction across various diseases. The Saudi healthcare system presents unique implementation opportunities through its robust technological infrastructure, significant healthcare investments, and digital transformation initiatives. However, challenges include specialized expertise requirements, data availability constraints, workflow integration complexities, and regulatory considerations. This review analyzes applications across oncology, neurology, cardiovascular medicine, and respiratory disorders, examining their relevance to Saudi Arabia's specific healthcare priorities. The paper presents an implementation framework addressing technical infrastructure, professional development, regulatory standards, and collaborative research networks necessary for successful adoption. Strategic recommendations include establishing specialized centers of excellence, developing tailored training programs, creating Saudi-specific imaging datasets, and formulating appropriate governance structures. By strategically implementing radiomics and deep learning technologies, Saudi Arabia has the potential to advance personalized medicine, enhance diagnostic capabilities, improve treatment outcomes, and contribute to global knowledge in this rapidly evolving field