ArticleZhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery2020
[Research and application of artificial intelligence based three-dimensional preoperative planning system for total hip arthroplasty].
Article in Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- 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
- Clinical application of artificial intelligence-assisted three-dimensional planning in direct anterior approach hip arthroplasty.International orthopaedics · 2024Trial
- Robotic-assisted total knee replacement: a narrative review of evolution, clinical impact, and future prospects in AI-driven precision surgery.Annals of medicine and surgery (2012) · 2026Review
- Artificial Intelligence in Orthopaedics: Clinical Performance, Limitations, and Translational Readiness-A Review.Journal of clinical medicine · 2026Review
- A study on the feasibility and initial outcomes of artificial intelligence-assisted preoperative planning for hip revision surgery.Frontiers in surgery · 2026Article
- Optimized treatment of hip ankylosis in spondylitis with direct anterior approach arthroplasty using AI navigation: a case report.Annals of joint · 2026Article
- Current Concepts in Artificial Intelligence-Assisted Arthroplasty: A Review of the Perioperative Pathway.Cureus · 2025Review
- AI-assisted direct anterior approachFrontiers in bioengineering and biotechnology · 2025Article
- Assessment of preoperative planning and intraoperative accuracy of the AIKNEE system for total knee arthroplasty.BMC musculoskeletal disorders · 2024Article
- [Impact of anemia on incidence of perioperative lower limb deep vein thrombosis in patients undergoing total hip arthroplasty].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2024Article
- Artificial intelligence-based three-dimensional templating for total joint arthroplasty planning: a scoping review.International orthopaedics · 2024Article
- Accuracy analysis of the new artificial anatomical marker positioning method (shoulder-to-shoulder) in preventing leg length discrepancy in total hip arthroplasty.Frontiers in surgery · 2024Article
- Transforming Orthopedic Joint Surgeries: The Role of Artificial Intelligence (AI) and Robotics.Cureus · 2023Article
- A role for artificial intelligence applications inside and outside of the operating theatre: a review of contemporary use associated with total knee arthroplasty.Arthroplasty (London, England) · 2023Review
- Challenges of Integrating New Technologies for Orthopedic Doctors to Face up to Difficulties during the Pandemic Era.Healthcare (Basel, Switzerland) · 2023Article
- [Application of artificial intelligence preoperative planning system in total hip arthroplasty for adult developmental dysplasia of the hip].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2023Article
- Artificial intelligence in orthopedic surgery: evolution, current state and future directions.Arthroplasty (London, England) · 2022Review
- Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2021Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop an artificial intelligence based three-dimensional (3D) preoperative planning system (AIHIP) for total hip arthroplasty (THA) and verify its accuracy by preliminary clinical application.
methodsThe CT image database consisting of manually segmented CT image series was built up to train the independently developed deep learning neural network. The deep learning neural network and preoperative planning module were assembled within a visual interactive interface-AIHIP. After that, 60 patients (60 hips) with unilateral primary THA between March 2017 and May 2020 were enrolled and divided into two groups. The AIHIP system was applied in the trial group (
resultsThe preoperative plan by the AIHIP system was completely realized in 27 patients (90.0%) of the trial group and the acetate templating was completely realized in 17 patients (56.7%) of the control group for the cup, showing significant difference (
conclusionCompared with the traditional 2D preoperative plan, the 3D preoperative plan by the AIHIP system is more accurate and detailed, especially in demonstrating the actual anatomical structures. In this study, the working flow of this artificial intelligent preoperative system was illustrated for the first time and preliminarily applied in THA. However, its potential clinical value needs to be discovered by advanced research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.