人工智能在干预放射学中的应用
Carolina Lanza1, Salvatore Alessio Angileri1, Serena Carriero1
1Department of Health Services, Diagnostic and Interventional Radiology, Foundation IRCCS Cà Granda-Ospedale Maggiore Policlinico, 20122 Milan, Italy.
人工智能 (AI) 通过改进规划,导航和评估来增强干预放射学 (IR). 像放射学,虚拟现实和人工智能驱动的成像工具等技术正在改变IR程序,以获得更好的结果.
科学领域:
- 医学成像和干预性放射学
- 人工智能在医学中的应用
背景情况:
- 干预性放射学 (IR) 程序越来越复杂.
- 集成先进技术对于改善IR结果至关重要.
- 人工智能 (AI) 具有显著的潜力,可以增强IR的各个方面.
研究的目的:
- 为人工智能在干预放射学中的当前应用和未来潜力提供全面的概述.
- 分析影响IR的关键人工智能驱动技术,包括放射学,虚拟现实,机器人,融合成像和圆束计算断层扫描 (CBCT).
主要方法:
- 过去几十年出版物的文献综述.
- 分析与IR相关的AI相关领域的技术发展.
- 检查AI在程序前规划,程序内导航和程序后评估中的作用.
主要成果:
- 人工智能显著改善了IR的程序前规划,程序内导航和程序后评估.
- 放射学可以通过图像特征提取实现个性化的治疗策略.
- 虚拟现实为训练和模拟提供了先进的工具.
- 由人工智能驱动的机器人系统提高了精度,并减少了辐射暴露.
- 人工智能增强的融合成像和CBCT改善了实时指导和结果.
结论:
- 人工智能是干预放射学的转型技术,在整个程序工作流程中提供了实质性的改进.
- 人工智能与放射学,虚拟现实,机器人技术和先进成像等工具的整合是提高IR精度,安全性和有效性的关键.
- 人工智能领域的持续研究和开发将进一步彻底改变IR实践和患者护理.
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