Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Dec 23:7:1417729.
doi: 10.3389/frai.2024.1417729. eCollection 2024.

The role of artificial intelligence in preoperative planning for Total Hip Arthroplasty: a systematic review

Javad Khaje Mozafari  1   2 , Seyed Ali Moshtaghioon  3 , Seyed Mani Mahdavi  4 , Alireza Ghaznavi  4 , Morteza Behjat  4 , Ali Yeganeh  5
Affiliations

The role of artificial intelligence in preoperative planning for Total Hip Arthroplasty: a systematic review

Javad Khaje Mozafari et al. Front Artif Intell. .

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.

Keywords: Total Hip Arthroplasty; artificial intelligence; orthopedic; preoperative planning; systematic review.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Flowchart of study selection.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    1. Ambrus R., Dousa P., Almasi J., Steno B. (2023). Current concepts in diagnosis and Management of Patients Undergoing Total hip Replacement with concurrent disorders of spinopelvic anatomy: a narrative review. Medicina 59:1591. doi: 10.3390/medicina59091591 - DOI - PMC - PubMed
    1. Birkhoff D. C., van A., Schijven M. P. (2021). A review on the current applications of artificial intelligence in the operating room. Surg. Innov. 28, 611–619. doi: 10.1177/1553350621996961 - DOI - PMC - PubMed
    1. Chen X., Liu X., Wang Y., Ma R., Zhu S., Li S., et al. . (2022). Development and validation of an artificial intelligence preoperative planning system for Total hip arthroplasty. Front. Med. 9:841202. doi: 10.3389/fmed.2022.841202 - DOI - PMC - PubMed
    1. Cheng K., Li Z., Li C., Xie R., Guo Q., He Y., et al. . (2023). The potential of GPT-4 as an AI-powered virtual assistant for surgeons specialized in joint arthroplasty. Ann. Biomed. Eng. 51, 1366–1370. doi: 10.1007/s10439-023-03207-z - DOI - PubMed
    1. Deleanu B., Prejbeanu R., Vermesan D., Honcea L., Mioc M. L., Tsiridis E., et al. . (2016). Avascular necrosis of the femoral head at 2 years after pertrochanteric fracture surgery: case report. Ann. Med. Surg. 5, 106–109. doi: 10.1016/j.amsu.2015.12.053 - DOI - PMC - PubMed

Publication types

LinkOut - more resources