Intracranial aneurysm is a high-risk disease, with imaging playing a crucial role in their diagnosis and treatment. The rapid advancement of artificial intelligence in imaging technology holds promise for the development of AI-based radiomics predictive models. These models could potentially enable the automatic detection and diagnosis of intracranial aneurysms, assess their status, and predict outcomes, thereby assisting in the creation of personalized treatment plans. In addition, these techniques could improve diagnostic efficiency for physicians and patient prognoses. This article aims to review the progress of artificial intelligence radiomics in the study of intracranial aneurysms, addressing the challenges faced and future prospects, in hopes of introducing new ideas for the precise diagnosis and treatment of intracranial aneurysms.

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基于颅内动脉瘤图像的人工智能和放射组学预测模型的研究与应用进展

颅内动脉瘤是一种高危疾病，影像学在其诊断和治疗中发挥着至关重要的作用。人工智能在成像技术方面的快速进步为基于人工智能的放射组学预测模型的开发带来了希望。这些模型有可能实现颅内动脉瘤的自动检测和诊断、评估其状态并预测结果，从而有助于制定个性化治疗计划。此外，这些技术可以提高医生的诊断效率和患者的预后。本文旨在回顾人工智能放射组学在颅内动脉瘤研究中的进展，探讨其面临的挑战和未来的前景，希望为颅内动脉瘤的精准诊断和治疗引入新的思路。