Mozafari Javad Khaje, Moshtaghioon Seyed Ali, Mahdavi Seyed Mani, Ghaznavi Alireza, Behjat Morteza, Yeganeh Ali
Trauma and Injury Research Center, Iran University of Medical Sciences, Tehran, Iran.
School of Medicine, Shahroud University of Medical Sciences, Shahroud, Iran.
Front Artif Intell. 2024 Dec 23;7:1417729. doi: 10.3389/frai.2024.1417729. eCollection 2024.
Total Hip Arthroplasty (THA) is a transformative surgical intervention for hip joint disorders, necessitating meticulous preoperative planning for optimal outcomes. With the emergence of Artificial Intelligence (AI), preoperative planning paradigms have evolved, leveraging AI algorithms for enhanced decision support and imaging analysis. This systematic review aims to comprehensively evaluate the role of AI in THA preoperative planning, synthesizing evidence from studies exploring various AI techniques and their applications.
A systematic search of PubMed, Scopus, and Web of Science databases was conducted to identify relevant articles. Inclusion criteria encompassed studies focusing on AI in THA preoperative planning, including randomized controlled trials (RCTs), observational studies, and comparative studies.
Six studies from China met the inclusion criteria, collectively analyzing 831 patients. AI-assisted planning demonstrated superior accuracy in estimating prosthesis size and positioning compared to traditional methods. However, limitations such as geographic bias and language constraints were noted.
AI-assisted preoperative planning significantly enhances femoral positioning accuracy, providing superior outcomes compared to traditional methods. This improvement in precision, particularly in the placement of femoral and acetabular components, has been consistently observed across studies, making AI an indispensable tool in improving the overall success of Total Hip Arthroplasty. Despite promising findings, further research is warranted to address limitations and optimize the integration of AI technologies into routine clinical practice.
全髋关节置换术（THA）是治疗髋关节疾病的一种变革性手术干预措施，需要进行细致的术前规划以实现最佳效果。随着人工智能（AI）的出现，术前规划模式不断演变，利用AI算法提供增强的决策支持和影像分析。本系统评价旨在全面评估AI在THA术前规划中的作用，综合探索各种AI技术及其应用的研究证据。
对PubMed、Scopus和Web of Science数据库进行系统检索，以识别相关文章。纳入标准包括聚焦于AI在THA术前规划中的研究，包括随机对照试验（RCT）、观察性研究和比较性研究。
来自中国的六项研究符合纳入标准，共分析了831例患者。与传统方法相比，AI辅助规划在估计假体尺寸和定位方面显示出更高的准确性。然而，也注意到了地域偏差和语言限制等局限性。
与传统方法相比，AI辅助术前规划显著提高了股骨定位的准确性，带来更好的结果。在各项研究中一致观察到这种精度的提高，尤其是在股骨和髋臼组件的放置方面，这使得AI成为提高全髋关节置换术总体成功率不可或缺的工具。尽管有这些有前景的发现，但仍需要进一步研究来解决局限性，并优化AI技术在常规临床实践中的整合。
