Artificial intelligence (AI) is rapidly transforming radiology by improving diagnostic accuracy, workflow efficiency, and clinical decision-making. The increasing complexity and volume of medical imaging data necessitate advanced tools capable of supporting radiologists in early disease detection. This article provides an expanded review of AI applications in radiology, including machine learning and deep learning techniques, their clinical impact, challenges, ethical considerations, and future perspectives.

artificial intelligence, radiology, medical imaging, early diagnosis, deep learning

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