彻底改变动脉瘤检测:人工智能在降低断裂率方面的作用
Muzamil Akhtar1, Hanzala Ahmed Farooqi2, Rayyan Nabi3,4
1Gujranwala Medical College, Gujranwala, Pakistan.
Neurosurgical review
|August 1, 2024
概括
在日本,由于更好的高血压管理,脑动脉瘤破裂率显著下降. 人工智能和机器学习对早期检测和预测破裂风险充满希望.
科学领域:
- 神经外科和医学成像学
- 流行病学 流行病学
- 人工智能在医学中的应用
背景情况:
- 未破裂的大脑动脉瘤 (UCAs) 影响全球人口的2-5%,通常是无症状的,位于威利斯圆圈.
- 在2003年至2018年期间,日本的UCAs的年度破裂率有显著的下降.
- 分析了副arachnoid出血 (SAH) 的死亡率和经过治疗的大脑动脉瘤破裂 (RCAs) 的数据.
结论:
- 这项研究强调了日本脑动脉瘤破裂率的显著下降,这在很大程度上归因于加强高血压管理.
- 人工智能和机器学习技术在改善早期发现脑动脉瘤和预测破裂风险方面显示出相当大的前景.
- 人工智能和机器学习方面的这些进展预计将通过促进更好的脑动脉瘤风险管理策略来提高患者的治疗结果.
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