Trial reportInternational orthopaedics2024
Clinical application of artificial intelligence-assisted three-dimensional planning in direct anterior approach hip arthroplasty.
Trial report in International orthopaedics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Comparison of Artificial Intelligence and Traditional Methods in Preoperative Planning for Primary Total Hip Arthroplasty: A Systematic Review and Meta-Analysis.Orthopaedic surgery · 2025Pooled it
- Advanced systems for intraoperative cartilage evaluation and treatment demonstrate early feasibility and a shift towards integrating artificial intelligence: A scoping review.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026Article
- Artificial Intelligence in Arthroplasty: A Comprehensive Structured Critical Review and Descriptive Evidence Map of Validation, Uncertainty, and Workflow Integration.Bioengineering (Basel, Switzerland) · 2026Review
- Three-dimensional and artificial intelligence-assisted preoperative templating in total hip arthroplasty: a systematic review and meta-analysis.Arthroplasty (London, England) · 2026Review
- Optimizing arthroplasty outcomes: the impact of artificial intelligence and robotic assistance.Annals of medicine and surgery (2012) · 2026Review
- AI-assisted preoperative planning improves component sizing accuracy in Oxford unicompartmental knee arthroplasty: a retrospective cohort study with 24-month follow-up.Journal of orthopaedic surgery and research · 2026Article
- Optimizing preoperative planning for total hip arthroplasty using random forest models to predict stem size and compatibility.BMC musculoskeletal disorders · 2026Article
- AI-driven 3D virtual surgical planning in total hip arthroplasty: a machine learning approach for precision implant positioning and improved clinical outcomes.Journal of orthopaedic surgery and research · 2026Article
- Computerised Tomography based three dimensional planning predicts cup size with near-perfect accuracy in robotic total hip arthroplasty: a study of six hundred and nineteen hips.International orthopaedics · 2026Article
- [Advances in application of digital orthopedic technology in total hip arthroplasty for developmental dysplasia of hip].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2026Review
- Evaluation of Accuracy and Reliability of Free Templating Software for Total Hip Arthroplasty.Indian journal of orthopaedics · 2026Article
- The accuracy of artificial intelligence in 3D preoperative planning for total hip arthroplasty: A systematic review and meta-analysis.Journal of experimental orthopaedics · 2026Review
- Are We Training Surgeons or Supervisors? Artificial Intelligence, Automation, and the Future of Surgical Expertise in Orthopedics.The archives of bone and joint surgery · 2026Article
- Efficiency of Artificial Intelligence in Three-Dimensional Reconstruction of Medical Imaging.Cureus · 2025Review
- Review
- The revolutionary impact of artificial intelligence in orthopedics: comprehensive review of current benefits and challenges.Journal of robotic surgery · 2025Review
- AI-assisted 3D versus conventional 2D preoperative planning in total hip arthroplasty for Crowe type II-IV high hip dislocation: a two-year retrospective study.Journal of orthopaedic surgery and research · 2025Article
- The Role of Artificial Intelligence and Emerging Technologies in Advancing Total Hip Arthroplasty.Journal of personalized medicine · 2025Review
- Artificial Intelligence and the State of the Art of Orthopedic Surgery.The archives of bone and joint surgery · 2025Review
- Artificial intelligence in orthopaedic education: a narrative review.Annals of joint · 2025Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe objective of this study was to investigate the efficacy of an artificial intelligence-assisted 3D planning system (AIHIP) in total hip arthroplasty by direct anterior approach and assess the reliability of the AIHIP preoperative program in terms of both interobserver and intraobserver agreement.
methodsA retrospective analysis was conducted on patients who underwent unilateral primary THA via direct anterior approach from June 2019 to March 2022. Participants were randomly assigned to receive either the AIHIP system (n = 220) or the 2D template (control group) (n = 220) for preoperative planning. The primary outcome aimed to evaluate the correspondence between the prosthesis selected intro-operation and the one planned preoperatively, as well as to calculate the intraclass correlation coefficient (ICC). Secondary outcomes included operation time, intraoperative blood loss, fluoroscopy times, Harris hip score (HHS), lower limb length difference (LLD), femoral offset (FO), and bilateral femoral offset difference.
resultsNo significant differences were observed in gender, age, body mass index (BMI), aetiology, and American Society of Anesthesiologists (ASA) score between the two groups. Both planning methods exhibited good intraobserver agreement for component planning (ICC: 0.941-0.976). Interobserver agreement for component planning was comparable between the two methods (ICC: 0.882-0.929). In the AIHIP group, the accuracy of acetabular cup and femoral stem prosthetics planning significantly improved, with accuracies within the size range of ± 0 and ± 1 being 76.8% and 90.5% and 79.5% and 95.5%, respectively. All differences between two groups were statistically significant (p < 0.05). Patients receiving AIHIP preoperative planning experienced shorter operation times, reduced intraoperative blood loss, fewer fluoroscopy times, and lower leg length discrepancy (LLD) (p < 0.05). Moreover, they demonstrated a higher Harris hip score (HHS) at three days post-surgery (p < 0.05). However, no significant differences were found in femoral offset (FO), difference of bilateral femoral offsets, and HHS at 1 month after the operation.
conclusionUtilizing AIHIP for preoperative planning of direct anterior approach THA can significantly enhance the accuracy of prosthetic sizing with good reliability, decrease operation time, reduce intraoperative blood loss, and more effectively restore the length of both lower limbs. This approach has greater clinical application value.
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