AIMC Topic: Tibia
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Development of an artificial intelligence model for predicting implant size in total knee arthroplasty using simple X-ray images.
Journal of orthopaedic surgery and research
Aug 27, 2024
BACKGROUND: Accurate estimation of implant size before surgery is crucial in preparing for total knee arthroplasty. However, this task is time-consuming and labor-intensive. To alleviate this burden on surgeons, we developed a reliable artificial int...
Automated transtibial prosthesis alignment: A systematic review.
Artificial intelligence in medicine
Aug 22, 2024
This comprehensive systematic review critically analyzes the current progress and challenges in automating transtibial prosthesis alignment. The manual identification of alignment changes in prostheses has been found to lack reliability, necessitatin...
Identification of footstrike pattern using accelerometry and machine learning.
Journal of biomechanics
Aug 2, 2024
Recent reports have suggested that there may be a relationship between footstrike pattern and overuse injury incidence and type. With the recent increase in wearable sensors, it is important to identify paradigms where the footstrike pattern can be d...
Artificial intelligence-based assessment of leg axis parameters shows excellent agreement with human raters: A systematic review and meta-analysis.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Jul 21, 2024
PURPOSE: The aim of this study was to conduct a systematic review and meta-analysis on the reliability and applicability of artificial intelligence (AI)-based analysis of leg axis parameters. We hypothesized that AI-based leg axis measurements would ...
Unsupervised Learning-Based Measurement of Ultrasonic Axial Transmission Velocity in Neonatal Bone.
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Jun 14, 2024
OBJECTIVES: To develop a robust algorithm for estimating ultrasonic axial transmission velocity from neonatal tibial bone, and to investigate the relationships between ultrasound velocity and neonatal anthropometric measurements as well as clinical b...
Predicting Musculoskeletal Loading at Common Running Injury Locations Using Machine Learning and Instrumented Insoles.
Medicine and science in sports and exercise
Jun 6, 2024
INTRODUCTION: Wearables have the potential to provide accurate estimates of tissue loads at common running injury locations. Here we investigate the accuracy by which commercially available instrumented insoles (ARION; ATO-GEAR, Eindhoven, The Nether...
Enhanced reliability and time efficiency of deep learning-based posterior tibial slope measurement over manual techniques.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
May 26, 2024
PURPOSE: Multifaceted factors contribute to inferior outcomes following anterior cruciate ligament (ACL) reconstruction surgery. A particular focus is placed on the posterior tibial slope (PTS). This study introduces the integration of machine learni...
Factors to improve odds of success following medial opening-wedge high tibial osteotomy: a machine learning analysis.
BMC musculoskeletal disorders
Apr 24, 2024
BACKGROUND: Although high tibial osteotomy (HTO) is an established treatment option for medial compartment osteoarthritis, predictive factors for HTO treatment success remain unclear. This study aimed to identify informative variables associated with...
Robot-assisted anterior cruciate ligament reconstruction based on three-dimensional images.
Journal of orthopaedic surgery and research
Apr 17, 2024
Background Tunnel placement is a key step in anterior cruciate ligament (ACL) reconstruction. The purpose of this study was to evaluate the accuracy of bone tunnel drilling in arthroscopic ACL reconstruction assisted by a three-dimensional (3D) image...
Development of an automatic surgical planning system for high tibial osteotomy using artificial intelligence.
The Knee
Apr 10, 2024
BACKGROUND: This study proposed an automatic surgical planning system for high tibial osteotomy (HTO) using deep learning-based artificial intelligence and validated its accuracy. The system simulates osteotomy and measures lower-limb alignment param...
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