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机器人超声波成像:最先进的技术和未来的前景
Zhongliang Jiang1, Septimiu E Salcudean2, Nassir Navab3
1Computer Aided Medical Procedures, Technical University of Munich, Munich, Germany.
机器人超声波系统 (RUSS) 通过克服操作员对自由手超声波的依赖来增强诊断成像和医疗干预. 在自主RUSS的研究,利用人工智能,旨在复制专家超声波技巧.
科学领域:
- 医疗成像医学成像
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
背景情况:
- 自由手超声波 (US) 取决于操作者,限制了可复制性和可访问性.
- 美国机器人系统 (RUSS) 旨在提高灵巧性,可复制性和智能成像.
- 俄罗斯可以解决经验丰富的超声波专家的短缺,用于诊断和干预.
研究的目的:
- 为了分类和审查远程操作和自主RUSS.
- 突出人工智能和机器学习在自主俄罗斯的作用.
- 讨论智能机器人超声波仪的挑战和未来方向.
主要方法:
- 将RUSS分类为远程操作和自主系统.
- 技术发展和远程操作RUSS.RUSS.的临床评估的审查.
- 专注于自主机器人美国成像的最新进展,强调人工智能技术.
主要成果:
- 机器学习和人工智能是智能,运动感知机器人美国图像采集的关键推动因素.
- 自主RUSS研究正在推进对专家超声波器推理和行为的理解和建模.
- 自主RUSS的开发正在向智能机器人同事发展.
结论:
- 俄罗斯提供了显著的潜力,以提高诊断和干预能力.
- 人工智能对于开发可模仿专家超声波仪的自主RUSS至关重要.
- 未来的开发目标是协作智能机器人超声波仪,以改善医学成像.
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