| Abstract | In recent years, there have been remarkable advancements in artificial intelligence (AI) techniques, particularly in their application to biomedical imaging. This integration has opened up new possibilities for early and improved diagnosis, automation, and interoperability across various medical applications. This review explores the key developments in AIdriven biomedical imaging, examining the techniques and applications that have evolved. We highlight recent enhancements in various areas, such as early-stage diagnostics and explainability. Additionally, we address the challenges and limitations while shedding light on potential research directions to further integrate AI into clinical imaging, thereby enhancing patient-centered care. By synthesizing these key advancements and ongoing challenges, we aim to underscore AI’s potential to transform biomedical imaging practices. |
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