Bagaria Vaibhav, Tiwari Anjali
Department of Orthopaedic Surgery, Sir H.N. Reliance Foundation Hospital and Research Center, Girgaon, Mumbai, Maharashtra, India.
Arthroplasty. 2022 Feb 2;4(1):4. doi: 10.1186/s42836-021-00108-1.
Robot-assisted arthroplasty is likely to grow exponentially in the years to come. While most surgeons recognize their superiority in refining alignment and improving component positioning accuracy, the universal adaptability of robots remains slow due to certain technological and behavioural gaps. Endoprosthesis robots currently suffer from increased reaction time, lack of natural adaptation to the surgeon's abilities, and unavailability and inapplicability in different surgical contexts. As humans and machines have to move forward into the next phase of their relationship, robots enabled with artificial intelligence (AI) may become more advanced and an alternative to overcome existing challenges like cost, training, and improve performance based on feedback provided by surgeons. Augmented intelligence is perhaps a more apt word than artificial, as it reflects more human-machine fusion and several areas are already proactively adopting the terminology. Arthroplasty robots can benefit from AI by using computer vision models, applying sensors, and integrating feedback and loop execution. All of this would help achieve a technical superiority to the surgeon alone. This brief perspective on how humans and machines are likely to benefit from the integration of AI outlines the technical side of this enablement.
在未来几年，机器人辅助关节置换术可能会呈指数级增长。虽然大多数外科医生认识到机器人在优化对线和提高假体定位精度方面的优势，但由于某些技术和行为差距，机器人的普遍适应性仍然进展缓慢。目前的内置假体机器人存在反应时间增加、缺乏对医生能力的自然适应性，以及在不同手术环境中不可用和不适用等问题。随着人类和机器不得不进入它们关系的下一阶段，具备人工智能（AI）的机器人可能会变得更加先进，并成为克服诸如成本、培训等现有挑战的一种选择，同时还能根据外科医生提供的反馈来提高性能。增强智能可能比人工智能更贴切，因为它更能体现人机融合，而且已有几个领域积极采用这一术语。关节置换术机器人可以通过使用计算机视觉模型、应用传感器以及整合反馈和循环执行来从人工智能中受益。所有这些都将有助于实现超越外科医生个人的技术优势。这篇关于人类和机器如何可能从人工智能整合中受益的简要观点概述了这种赋能的技术层面。
