Advances in X-ray Imaging Technology for Improved Diagnosis and Treatment: A Systematic Review
Abstract
X-ray imaging technology has been at the forefront of medical diagnostics for decades, allowing for the visualization of internal structures in the human body. This systematic review explores the recent advances in X-ray imaging technology that have led to improved diagnostic accuracy and treatment outcomes. The study utilized secondary data from a diverse range of sources, including research articles, technical reports, and clinical studies. The findings of the review highlight several key advancements in X-ray imaging technology, such as the development of digital radiography and computed tomography (CT) imaging, which provide higher resolution images and improved clarity of anatomical structures. Furthermore, the integration of artificial intelligence (AI) algorithms has enabled the automation of image interpretation, leading to faster and more accurate diagnoses. The review also discusses the emerging trends in X-ray imaging, including the use of dual-energy and spectral imaging techniques for better tissue characterization and the development of portable and point-of-care X-ray devices for remote and resource-limited settings. These advancements have the potential to revolutionize the field of medical imaging and improve patient outcomes by enabling faster, more accurate diagnoses and personalized treatment plans. In conclusion, this systematic review provides a comprehensive overview of the recent advancements in X-ray imaging technology and their implications for improved diagnosis and treatment in clinical practice.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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