Classification, detection, and segmentation performance of image-based AI in intracranial aneurysm: a systematic review.

Journal: BMC medical imaging
Published Date: Jul 2, 2024

Abstract

BACKGROUND: The detection and management of intracranial aneurysms (IAs) are vital to prevent life-threatening complications like subarachnoid hemorrhage (SAH). Artificial Intelligence (AI) can analyze medical images, like CTA or MRA, spotting nuances possibly overlooked by humans. Early detection facilitates timely interventions and improved outcomes. Moreover, AI algorithms offer quantitative data on aneurysm attributes, aiding in long-term monitoring and assessing rupture risks.

Authors

  • Zhiyue Zhou
    School of Medicine, Southern University of Science and Technology, Southern University of Science and Technology, Shenzhen, China.
  • Yuxuan Jin
    School of Medicine, Southern University of Science and Technology, Southern University of Science and Technology, Shenzhen, China.
  • Haili Ye
  • Xiaoqing Zhang
    a College of Information Science and Technology , Donghua University , Shanghai , China.
  • Jiang Liu
    Department of Pharmacy, The Fourth Hospital of Hebei Medical University Shijiazhuang 050000, Hebei, China.
  • Wenyong Zhang
    School of Medicine, Southern University of Science and Technology, Southern University of Science and Technology, Shenzhen, China. zhangwy@sustech.edu.cn.

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