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<p>Acute ischemic stroke (AIS) is one of the leading causes of death worldwide in which timely and comprehensive evaluations based on imaging evidence play an irreplaceable role. Computed tomography (CT) and magnetic resonance imaging (MRI), with their related advanced analysis technologies, provide visual information of ischemic lesion. There are needs for exploiting potentials beyond radiological diagnosis. Artificial intelligence (AI) is exerting disruptive and transformative effects on clinical medicine, especially in the interpretation of medical imaging. This article attempts to summary AI used in the automated diagnosis, lesion segmentation and outcome prediction of ischemic stroke from medical imaging, which gears toward clinicians and has the capabilities to optimize workflow with improved performance in real clinical settings. We also discuss the future direction of AI in ischemic stroke, mainly about model development and clinical validation.</p>

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Artificial intelligence in workflow optimization of acute ischemic stroke imaging: current status and future perspectives

  • 期刊论文

  • 发表日期：

    2025年10月15日

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  • Xue Ming Zhang,
  • Zhao Shi,
  • Bin Hu,
  • Long Jiang Zhang

摘要

Acute ischemic stroke (AIS) is one of the leading causes of death worldwide in which timely and comprehensive evaluations based on imaging evidence play an irreplaceable role. Computed tomography (CT) and magnetic resonance imaging (MRI), with their related advanced analysis technologies, provide visual information of ischemic lesion. There are needs for exploiting potentials beyond radiological diagnosis. Artificial intelligence (AI) is exerting disruptive and transformative effects on clinical medicine, especially in the interpretation of medical imaging. This article attempts to summary AI used in the automated diagnosis, lesion segmentation and outcome prediction of ischemic stroke from medical imaging, which gears toward clinicians and has the capabilities to optimize workflow with improved performance in real clinical settings. We also discuss the future direction of AI in ischemic stroke, mainly about model development and clinical validation.