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Abstract

Radiologic imaging stands as a crucial pillar in contemporary healthcare, offering clinicians a profound understanding of disease pathology and guiding effective management strategies. This abstract provides an overview of the pivotal role of radiologic imaging in disease diagnosis and management. It explores the diverse imaging modalities, including X-ray, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, and nuclear medicine imaging, each offering unique insights into anatomical structures and physiological processes. The abstract highlights the principles underlying these imaging techniques and their clinical applications across various medical specialties, such as cardiology, oncology, neurology, and orthopedics. Additionally, it discusses recent advancements in artificial intelligence (AI) and machine learning, which have revolutionized radiologic imaging by enhancing diagnostic accuracy and streamlining workflow efficiency. Through its comprehensive examination, this abstract underscores the indispensable role of radiologic imaging as a window into disease diagnosis, treatment planning, and therapeutic monitoring in modern medicine.