AIMC Topic: Arthroplasty, Replacement
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Optimizing the clinical adoption of total joint replacement of the lumbar spine through imaging, robotics and artificial intelligence.
Expert review of medical devices
Mar 26, 2025
INTRODUCTION: The objective of this article is to assess the potential of imaging, robotics, and artificial intelligence (AI) to significantly improve spine care, preoperative planning and surgery.
Optimal inputs for machine learning models in predicting total joint arthroplasty outcomes: a systematic review.
European journal of orthopaedic surgery & traumatology : orthopedie traumatologie
Aug 30, 2024
INTRODUCTION: Machine learning (ML) models may offer a novel solution to reducing postoperative complication rates and improving post-surgical outcomes after total joint arthroplasty (TJA). However, the variety of different ML models that exist paire...
Preoperative prediction model for risk of readmission after total joint replacement surgery: a random forest approach leveraging NLP and unfairness mitigation for improved patient care and cost-effectiveness.
Journal of orthopaedic surgery and research
May 10, 2024
BACKGROUND: The Center for Medicare and Medicaid Services (CMS) imposes payment penalties for readmissions following total joint replacement surgeries. This study focuses on total hip, knee, and shoulder arthroplasty procedures as they account for mo...
Development of a Machine Learning Model to Predict the Use of Surgery in Patients With Rheumatoid Arthritis.
Arthritis care & research
Mar 19, 2024
OBJECTIVE: One in five patients with rheumatoid arthritis (RA) rely on surgery to restore joint function. However, variable response to disease-modifying antirheumatic drugs (DMARDs) complicates surgical planning, and it is difficult to predict which...
Status of robot-assisted artificial total joint arthroplasty in China: a cross-sectional survey of joint surgeons.
International orthopaedics
Nov 24, 2022
PURPOSE: The purpose of this study is to report on the use of Robotic-assisted total joint arthroplasty (RA-TJA) in China as well as the experience and expectations of Chinese doctors regarding this technology.
Machine learning techniques for the optimization of joint replacements: Application to a short-stem hip implant.
PloS one
Sep 5, 2017
Today, different implant designs exist in the market; however, there is not a clear understanding of which are the best implant design parameters to achieve mechanical optimal conditions. Therefore, the aim of this project was to investigate if the g...
[Transforming joint reconstruction with surgical robotics: from empirical to analytical approaches].
Zhonghua yi xue za zhi
Apr 29, 2025
Robotic-assisted joint reconstruction has gradually become a routine procedure in clinical practice. Robots enhance surgical precision, minimize soft tissue damage, and improve clinical outcomes in joint reconstruction. This article will discuss the ...
Development and Internal Validation of Machine Learning Algorithms for Predicting Hyponatremia After TJA.
The Journal of bone and joint surgery. American volume
Feb 2, 2022
BACKGROUND: The development of hyponatremia after total joint arthroplasty (TJA) may lead to several adverse events and is associated with prolonged inpatient length of stay as well as increased hospital costs. The purpose of this study was to develo...
Robotic surgery in trauma and orthopaedics: a systematic review.
The bone & joint journal
Mar 1, 2015
The use of robots in orthopaedic surgery is an emerging field that is gaining momentum. It has the potential for significant improvements in surgical planning, accuracy of component implantation and patient safety. Advocates of robot-assisted systems...
Robotic joint replacement surgery: does technology improve outcomes?
The health care manager
Jan 1, 2015
Osteoarthritis is a common disease that leads patients to seek total joint replacement (TJR). Component misalignment leads to failure of TJR. Computer navigation enhances the precision of component alignment, but the addition of robotic guidance can ...
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