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人工智能在机器人图像引导干预中的作用和未来

Tom Boeken¹, Hwa-Pyung David Lim², Emil I Cohen²

¹Department of Vascular and Oncological Interventional Radiology, Hôpital Européen Georges Pompidou, AP-HP; Université Paris Cité, Faculté de Médecine; HEKA INRIA, INSERM PARCC U 970, Paris, France.

Techniques in vascular and interventional radiology

|January 19, 2025

概括

人工智能 (AI) 和机器人正在增强干预放射学 (IR) 程序,提高精度和可靠性. 未来的人工智能驱动的机器人系统可能允许人类专家监督干预,而不是直接执行干预.

科学领域:

干预性放射学干预性放射学
医疗机器人医疗机器人
人工智能的人工智能

背景情况:

干预放射学 (IR) 历来专注于诊断.
人工智能,计算机视觉和机器人的进步正在扩大IR的程序能力.
人工智能正在增强机器人系统,以完成复杂的任务,如导管操纵和注射针.

研究的目的:

审查人工智能在干预性放射学机器人技术中改善程序结果方面的潜力.
要突出当前的挑战和未来的方向在AI驱动的IR机器人.

主要方法:

审查目前人工智能和机器人技术在干预放射学方面的进展.
讨论强化学习和触觉视觉等技术.
分析早期机器人系统在血管和皮肤间干预中的性能.

主要成果:

早期的机器人系统在IR干预中显示出更高的准确性.
人工智能集成可提高机器人程序的精度和可靠性.
人工智能驱动的机器人有可能显著改善程序结果.

结论:

人工智能和机器人正在改变干预放射学,朝着更大的自动化迈进.
在为IR开发完全自主的人工智能驱动的机器人系统方面,仍然存在挑战.
未来的IR可能涉及人类专业知识监督人工智能驱动的机器人干预.

关键词:

人工智能的人工智能 ML ML ML 在这里.机器学习机器学习程序自动化程序自动化强化学习是一种强化学习.机器人机器人机器人机器人机器人机器人

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