Detection of Prosthetic Loosening in Hip and Knee Arthroplasty Using Machine Learning: A Systematic Review and Meta-Analysis

MS Kim, JJ Kim, KH Kang, JH Lee, Y In - Medicina, 2023 - mdpi.com
Background: prosthetic loosening after hip and knee arthroplasty is one of the most common
causes of joint arthroplasty failure and revision surgery. Diagnosis of prosthetic loosening is …

Leveraging Deep Learning in Implementing Efficient Healthcare Processes

VK Nomula, AS Mohammed… - 2024 15th …, 2024 - ieeexplore.ieee.org
-deep learning is a quick-developing subfield of machine studying. It has made big
improvements in diverse areas consisting of computer imagination and prescient, natural …

[HTML][HTML] Predicting 30-Day Venous Thromboembolism Following Total Joint Arthroplasty: Adjusting for Trends in Annual Length of Stay

JR Lex, R Koucheki, A Abbas, JI Wolfstadt… - Arthroplasty Today, 2024 - Elsevier
Background Venous thromboembolism (VTE) following total hip arthroplasty and total knee
arthroplasty (TKA) is linked to immobility, and preoperative prediction remains difficult. We …

Leveraging Reinforcement Learning to Improve Content Retrieval

G Indira, GC Shelke, B Sharma, V Singh… - … on Smart Generation …, 2023 - ieeexplore.ieee.org
Reinforcement studying (RL) is an artificial intelligence (AI) paradigm that can be used to
decorate content material retrieval systems, which frequently rent supervised gaining …

Machine Learning to Predict and Optimize Lower Extremity Arthroplasty Resource Utilization

JR Lex - 2023 - search.proquest.com
Total knee and hip arthroplasty (TKA and THA, respectively) are common and resource
intensive procedures contributing to significant burden on healthcare systems. The overall …

[PDF][PDF] Development of Novel Bayesian Inference Algorithms for Decision Trees with Application to Clinical Decision Support Tools

JA Cochrane - 2024 - nova.newcastle.edu.au
Prediction modelling is ubiquitous in the clinical decision-making literature, where the
complexity of the relationship between patient parameters and outcomes often requires a …