干预放射学中的人工智能:当前的概念和未来的趋势
Armelle Lesaunier1, Julien Khlaut2, Corentin Dancette2
1Department of Vascular and Oncological Interventional Radiology, Hôpital Européen Georges Pompidou, AP-HP, 75015 Paris, France; Université Paris Cité, Faculté de Médecine, 75006 Paris, France.
Diagnostic and interventional imaging
|September 11, 2024
概括
人工智能 (AI) 正在改变干预放射学,通过先进的深度学习模型和人工健康数据增强术前患者选择,术后决策和研究. 这项技术承诺更大的自主性和更好的现场结果.
科学领域:
- 干预性放射学 干预性放射学
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 人工智能 (AI) 已经在诊断放射学中建立,并在干预放射学中出现.
- 人工智能有可能显著改变日常干预放射学实践.
研究的目的:
- 审查人工智能在干预放射学中的当前和未来应用.
- 突出AI对患者管理,程序效率和研究的影响.
主要方法:
- 审查深度学习和基础模型的最新进展.
- 在术前,术后和研究环境中探索人工智能应用.
- 人工智能与机器人技术和人工健康数据的整合.
主要成果:
- 人工智能有助于多模式管理和在手术前环境中增加自主权.
- 人工智能有助于实时图像分析和决策,提高效率和安全.
- 基于人工智能的数据增强解决了研究挑战,并刺激了创新.
结论:
- 人工智能将通过提高患者选择,程序准确性和研究能力来彻底改变干预放射学.
- 人工智能与机器人的协同作用表明,干预措施的自主性增加了.
- 人工智能驱动的创新对于干预放射学的未来至关重要.
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