人工智能和机器人技术将如何推进干预放射学:叙述审查和未来的前景
Jiaming Zhang1, Jiayi Fang1, Yanneng Xu2
1Department of Radiology, Clinical Medical College, Southwest Medical University, Luzhou 646699, China.
Diagnostics (Basel, Switzerland)
|July 13, 2024
概括
人工智能 (AI) 和机器人正在推进干预性放射学 (IR) 治疗. 虽然这些技术尚未得到广泛应用,但它们显示出极大的潜力,可以改善未来的医疗程序.
科学领域:
- 医疗技术 医疗技术 医学技术
- 放射学 放射学是一门学科.
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 和机器人正在快速推进医疗领域.
- 干预放射学 (IR) 越来越多地受益于这些技术发展.
研究的目的:
- 审查人工智能和机器人技术在IR方面的研究进展和应用.
- 探索人工智能和机器人在干预治疗中的未来方向.
- 分析这些技术在IR中的潜力和局限性.
主要方法:
- 在过去五年内发表的研究的系统文献搜索.
- 在PubMed和谷歌学者中进行的搜索.
- 强调大规模研究,以获得全面和可靠的结果.
主要成果:
- 人工智能和机器人,包括深度学习 (DL),机器学习 (ML) 和卷积神经网络 (CNN),在瘤学,神经学和心脏病学方面取得了进展.
- 在IR的多个方面,技术正在不断发展.
- 人工智能和机器人技术尚未在临床上得到广泛应用,但预计将改善治疗过程和疗效.
结论:
- 人工智能和机器人对推进干预放射学具有重大前景.
- 进一步的研究和开发对于临床整合至关重要.
- 这些技术将在未来彻底改变干预治疗.
关键词:
人工智能的人工智能是人工智能.卷积神经网络是一种卷积神经网络.深度学习学习深度学习干预性心脏病学 干预性心脏病学干预性神经放射学 干预性神经放射学干预性瘤学的干预性瘤学机器学习是机器学习.机器人机器人机器人机器人机器人机器人机器人更多相关视频
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