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The Role of Artificial Intelligence in Preoperative Planning for Total Hip Arthroplasty: A Systematic Review Publisher



Mozafari JK1, 2 ; Moshtaghioon SA3 ; Mahdavi SM4 ; Ghaznavi A4 ; Behjat M4 ; Yeganeh A5
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Authors Affiliations
  1. 1. Trauma and Injury Research Center, Iran University of Medical Sciences, Tehran, Iran
  2. 2. School of Medicine, Shahroud University of Medical Sciences, Shahroud, Iran
  3. 3. Department of Orthopedic and Trauma Surgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Orthopedic Surgery, Rasoul-e-Akram Hospital, Iran University of Medical Sciences, Tehran, Iran
  5. 5. Department of Orthopedic Hip and Knee Surgery, Rasoul-e-Akram Hospital, Iran University of Medical Sciences, Tehran, Iran

Source: Frontiers in Artificial Intelligence Published:2024


Abstract

Background: 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. Methods: 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. Results: 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. Conclusion: 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. Copyright © 2024 Mozafari, Moshtaghioon, Mahdavi, Ghaznavi, Behjat and Yeganeh.
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