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This review discusses the emergence of agentic systems in radiology, which enhance the capabilities of large language models (LLMs) by enabling them to interact dynamically with users and external systems. It highlights the potential benefits of these systems in medical imaging, including improved reproducibility and accessibility, while also addressing regulatory, ethical, and sustainability challenges. The article emphasizes the need for responsible integration of these technologies into clinical workflow

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pein10590

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EN