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放射学和人工智能在内动脉瘤管理中的系统审查

Monica-Rae Owens¹, Samuel A Tenhoeve¹, Clayton Rawson²

¹Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, Utah, USA.

Journal of neuroimaging : official journal of the American Society of Neuroimaging

|March 17, 2025

概括

放射学和人工智能 (AI) 正在彻底改变内动脉瘤治疗. 这些技术提高了诊断,预测破裂风险,并通过分析医学成像数据来改善患者的治疗结果.

科学领域:

* 医学成像和计算病理学
* 血管疾病的诊断和治疗.

背景情况:

* 内动脉瘤在破裂后具有显著的死亡和发病风险.
*早期检测,风险分层和结果预测对于有效管理至关重要.
* 放射学和人工智能为分析成像数据提供了新的方法,以获得更深入的见解.

研究的目的:

*系统地审查放射学和人工智能 (AI) 在内动脉瘤治疗中的应用.
*评估这个新兴领域当前的趋势,方法和临床应用.

主要方法:

*对684篇文章的系统综述,确定了84项关于动脉瘤治疗中放射学和人工智能的相关研究.
*分析出版趋势,研究类别和使用的数据类型 (放射学,临床,分子).

主要成果:

* 超过一半的审查研究是在2022年至2023年之间发表的,这表明创新速度迅速.
*破裂风险预测 (50.0%) 和诊断 (25.0%) 是最常见的应用.
*仅仅放射学数据是最常用的 (51.2%),其次是临床数据 (28.6%).

结论:

* 放射学和人工智能正在快速发展,在血管病理学中具有重大潜力,特别是在内动脉瘤方面.
*这些技术的扩展有望在诊断,风险预测和患者结果评估方面进一步创新.
* 结合放射学和临床数据的方法正在出现,提供全面的见解.

关键词:

动脉动脉瘤是一个动脉瘤.人工智能的人工智能是人工智能.深度学习是一种深度学习.机器学习是机器学习.无线电学 (radiomics) 是一种无线电学.血管血管血管血管

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