Machine learning prediction of imaging detected growth in unruptured intracranial aneurysms using clinical and morphological features.

IF 4.4 1区医学 Q1 NEUROIMAGING

Journal of NeuroInterventional Surgery Pub Date : 2026-10-08 DOI:10.1136/jnis-2026-025951

Zhuoyang Li, Mo Li, Lan Qin, Guangming Yang, Ling Song, Xinjian Yang, Sheng-Qi Hu, Jian Liu

引用次数: 0

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机器学习预测未破裂颅内动脉瘤的影像学检测生长的临床和形态学特征。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of NeuroInterventional Surgery NEUROIMAGING-SURGERY

CiteScore

9.50

自引率

14.60%

发文量

291

审稿时长

4-8 weeks

期刊介绍： The Journal of NeuroInterventional Surgery (JNIS) is a leading peer review journal for scientific research and literature pertaining to the field of neurointerventional surgery. The journal launch follows growing professional interest in neurointerventional techniques for the treatment of a range of neurological and vascular problems including stroke, aneurysms, brain tumors, and spinal compression.The journal is owned by SNIS and is also the official journal of the Interventional Chapter of the Australian and New Zealand Society of Neuroradiology (ANZSNR), the Canadian Interventional Neuro Group, the Hong Kong Neurological Society (HKNS) and the Neuroradiological Society of Taiwan.