AIMC Topic: Arthroplasty, Replacement, Knee
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Machine learning model identifies patient gait speed throughout the episode of care, generating notifications for clinician evaluation.
Gait & posture
Sep 6, 2024
INTRODUCTION: The advent of digital and mobile health innovations, especially use of wearables for passive data collection, allows remote monitoring and creates an abundance of data. For this information to be interpretable, machine learning (ML) pro...
Prediction of transfusion risk after total knee arthroplasty: use of a machine learning algorithm.
Orthopaedics & traumatology, surgery & research : OTSR
Sep 3, 2024
INTRODUCTION: Total knee arthroplasty (TKA) carries a significant hemorrhagic risk, with a non-negligible rate of postoperative transfusions. The blood-sparing strategy has evolved to reduce blood loss after TKA by identifying the patient's risk fact...
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...
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures.
BMC medical informatics and decision making
Jul 23, 2024
BACKGROUND: The frequency of hip and knee arthroplasty surgeries has been rising steadily in recent decades. This trend is attributed to an aging population, leading to increased demands on healthcare systems. Fast Track (FT) surgical protocols, peri...
Reliable prediction of implant size and axial alignment in AI-based 3D preoperative planning for total knee arthroplasty.
Scientific reports
Jul 23, 2024
The size and axial alignment of prostheses, when planned during total knee replacement (TKA) are critical for recovery of knee function and improvement of knee pain symptoms. This research aims to study the effect of artificial intelligence (AI)-base...
Risk prediction of kalaemia disturbance and acute kidney injury after total knee arthroplasty: use of a machine learning algorithm.
Orthopaedics & traumatology, surgery & research : OTSR
Jul 22, 2024
INTRODUCTION: Total knee arthroplasty (TKA) is a procedure associated with risks of electrolyte and kidney function disorders, which are rare but can lead to serious complications if not correctly identified. A routine check-up is very often carried ...
Artificial intelligence in total and unicompartmental knee arthroplasty.
BMC musculoskeletal disorders
Jul 22, 2024
The application of Artificial intelligence (AI) and machine learning (ML) tools in total (TKA) and unicompartmental knee arthroplasty (UKA) emerges with the potential to improve patient-centered decision-making and outcome prediction in orthopedics, ...
Use of natural language processing techniques to predict patient selection for total hip and knee arthroplasty from radiology reports.
The bone & joint journal
Jul 1, 2024
AIMS: To examine whether natural language processing (NLP) using a clinically based large language model (LLM) could be used to predict patient selection for total hip or total knee arthroplasty (THA/TKA) from routinely available free-text radiology ...
Surgical factors play a critical role in predicting functional outcomes using machine learning in robotic-assisted total knee arthroplasty.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
May 31, 2024
PURPOSE: Predictive models help determine predictive factors necessary to improve functional outcomes after total knee arthroplasty (TKA). However, no study has assessed predictive models for functional outcomes after TKA based on the new concepts of...
Prediction of 30-Day Mortality Following Revision Total Hip and Knee Arthroplasty: Machine Learning Algorithms Outperform CARDE-B, 5-Item, and 6-Item Modified Frailty Index Risk Scores.
The Journal of arthroplasty
May 24, 2024
BACKGROUND: Although risk calculators are used to prognosticate postoperative outcomes following revision total hip and knee arthroplasty (total joint arthroplasty [TJA]), machine learning (ML) based predictive tools have emerged as a promising alter...
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