Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Short-term survivorship of a novel acetabular component with a combination of non-locking and variable-angle locking screws in complex acetabular reconstruction.

Hip international : the journal of clinical and experimental research on hip pathology and therapy·2026
Same author

Cement Viscosity Is Associated With Aseptic Loosening After Primary Total Knee Arthroplasty: An Analysis of the American Joint Replacement Registry.

The Journal of arthroplasty·2026
Same author

Baseline Inflammatory Cytokines Moderate Associations Between Intraoperative Oxidative Stress and Chronic Postsurgical Pain After Total Knee Arthroplasty: An Exploratory Study.

Journal of pain research·2026
Same author

Analytic Bounds on GAMLSS Model Variability of Normative White Matter Brain Charts.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same author

Characterizing Continuous and Discrete Hybrid Latent Spaces for Structural Connectomes.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same author

Joint Neural Network for Fast Retrospective Rigid Motion Correction of Accelerated Segmented Multislice MRI.

Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition·2026

Related Experiment Video

Updated: Jun 13, 2025

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty
07:33

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty

Published on: May 5, 2023

498

Development of a Machine Learning Model for Determining Alignment in Knees Following Total Knee Arthroplasty.

Anoop S Chandrashekar1, Yehyun Suh2, Jacob A Fox3

  • 1Vanderbilt University School of Medicine, Nashville, Tennessee.

The Journal of Arthroplasty
|June 11, 2025
PubMed
Summary

Machine learning accurately measures total knee arthroplasty (TKA) alignment from hip-to-ankle X-rays, improving workflow. This AI tool aids in identifying patients at risk for implant failure due to malalignment.

Keywords:
alignmentartifical intelligencemachine learningmalalignmenttotal knee arthroplasty

More Related Videos

The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report
07:45

The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report

Published on: August 4, 2022

3.3K
The Lower Body Positive Pressure Treadmill for Knee Osteoarthritis Rehabilitation
09:10

The Lower Body Positive Pressure Treadmill for Knee Osteoarthritis Rehabilitation

Published on: July 22, 2019

10.5K

Related Experiment Videos

Last Updated: Jun 13, 2025

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty
07:33

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty

Published on: May 5, 2023

498
The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report
07:45

The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report

Published on: August 4, 2022

3.3K
The Lower Body Positive Pressure Treadmill for Knee Osteoarthritis Rehabilitation
09:10

The Lower Body Positive Pressure Treadmill for Knee Osteoarthritis Rehabilitation

Published on: July 22, 2019

10.5K

Area of Science:

  • Orthopedic surgery
  • Medical imaging analysis
  • Artificial intelligence in healthcare

Background:

  • Implant malalignment is a primary cause of total knee arthroplasty (TKA) failure.
  • Manual radiographic analysis is time-consuming and impractical for large-scale studies.
  • Machine learning (ML) offers a potential solution for automated TKA alignment assessment.

Purpose of the Study:

  • To develop and validate an ML model for accurate TKA alignment measurement.
  • To assess the model's ability to analyze full-length hip-to-ankle radiographs.
  • To identify potential applications in improving clinical workflow and research.

Main Methods:

  • Trained an ML model on 440 long-leg radiographs (LLR) to identify key anatomical landmarks.
  • Calculated mechanical hip-knee-ankle angle (mHKA), LDFA, MPTA, and JLO using identified landmarks.
  • Validated the ML model's accuracy on a separate set of 110 LLR.

Main Results:

  • The ML model processed images in under 0.1 seconds.
  • Achieved high accuracy with mean angle errors: mHKA (0.08°), LDFA (0.7°), MPTA (0.4°), and JLO (0.7°).
  • Demonstrated minimal deviation from human measurements.

Conclusions:

  • An accurate ML model for TKA alignment assessment has been developed.
  • AI technology shows significant potential for enhancing clinical workflows in joint arthroplasty.
  • This tool can increase research productivity and aid in identifying at-risk patients.