PubMed · 2020 · 15 citations · 16 references
MedicineOrthopaedic SurgeryOrthopedic SurgeryArtificial IntelligenceMachine LearningOrthopedicsHip ArthroplastyPreoperative PlanningSurgical ApproachesAnatomical Leg Length DiscrepancyComputer-assisted Orthopedic SurgeryComputer-guided SurgeryFunctional Leg Length DiscrepancyHip Joint AnatomyLeg Length Discrepancy CorrectionLeg Length Discrepancy MeasurementThree-dimensional Preoperative Modeling
OBJECTIVE: To 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. METHODS: >0.05). The coincidence rate, preoperative and postoperative leg length discrepancy, the difference of bilateral femoral offsets, the difference of bilateral combined offsets of two groups were compared to evaluate the accuracy and efficiency of the AIHIP system. RESULTS: >0.05). CONCLUSION: Compared 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.
16
William Healy, Richard Iorio, Andrew J. Clair et al. · Clinical Orthopaedics and Related Research · 2015 · 224 citations · Full text
Sarwar Mahmood, Sebastian Mukka, Sead Crnalic et al. · Acta Orthopaedica · 2015 · 201 citations · Full text
Elhadi Sariali, R. Mauprivez, F. Khiami et al. · Orthopaedics & Traumatology Surgery & Research · 2012 · 191 citations
Three-Dimensional Hip Anatomy in Osteoarthritis
Elhadi Sariali, A. Mouttet, Gilles Pаsquier et al. · The Journal of Arthroplasty · 2008 · 114 citations