Kumar Vishal, Patel Sandeep, Baburaj Vishnu, Vardhan Aditya, Singh Prasoon Kumar, Vaishya Raju
Department of Orthopaedics, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India.
Indraprastha Apollo Hospitals, New Delhi, India.
J Orthop. 2022 Aug 26;34:201-206. doi: 10.1016/j.jor.2022.08.020. eCollection 2022 Nov-Dec.
Artificial Intelligence (AI) has improved the way of looking at technological challenges. Today, we can afford to see many of the problems as just an input-output system rather than solving from the first principles. The field of Orthopaedics is not spared from this rapidly expanding technology. The recent surge in the use of AI can be attributed mainly to advancements in deep learning methodologies and computing resources. This review was conducted to draw an outline on the role of AI in orthopaedics.
We developed a search strategy and looked for articles on PubMed, Scopus, and EMBASE. A total of 40 articles were selected for this study, from tools for medical aid like imaging solutions, implant management, and robotic surgery to understanding scientific questions.
A total of 40 studies have been included in this review. The role of AI in the various subspecialties such as arthroplasty, trauma, orthopaedic oncology, foot and ankle etc. have been discussed in detail.
AI has touched most of the aspects of Orthopaedics. The increase in technological literacy, data management plans, and hardware systems, amalgamated with the access to hand-held devices like mobiles, and electronic pads, augur well for the exciting times ahead in this field. We have discussed various technological breakthroughs in AI that have been able to perform in Orthopaedics, and also the limitations and the problem with the black-box approach of modern AI algorithms. We advocate for better interpretable algorithms which can help both the patients and surgeons alike.
人工智能（AI）改善了应对技术挑战的方式。如今，我们可以将许多问题视为一个输入输出系统，而不是从第一原理去解决。骨科领域也未能免受这项迅速发展的技术的影响。近期人工智能使用的激增主要归因于深度学习方法和计算资源的进步。本综述旨在勾勒人工智能在骨科中的作用轮廓。
我们制定了搜索策略，并在PubMed、Scopus和EMBASE上查找文章。本研究共筛选出40篇文章，涵盖从成像解决方案、植入物管理和机器人手术等医疗辅助工具到理解科学问题等方面。
本综述共纳入40项研究。详细讨论了人工智能在关节成形术、创伤、骨肿瘤、足踝等各个亚专业中的作用。
人工智能已触及骨科的大部分方面。技术素养、数据管理计划和硬件系统的提升，再加上手机和平板电脑等手持设备的普及，预示着该领域未来将迎来令人兴奋的时代。我们讨论了人工智能在骨科中能够实现的各种技术突破，以及现代人工智能算法黑箱方法的局限性和问题。我们提倡使用更具可解释性的算法以造福患者和外科医生。
