AI Medical Compendium Journal:
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA

Showing 11 to 20 of 41 articles

Shoulder arthroscopy: Where we come from, where we are now and what is ahead. How artificial intelligence and machine-learning technologies will transform our field.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Jun 19, 2024
Machine Learning Arthroscopy Shoulder Joint Humans Artificial Intelligence
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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...
Osteoarthritis, Knee Minimal Clinically Important Difference Treatment Outcome Recovery of Function Arthroplasty, Replacement, Knee Patient Reported Outcome Measures Robotic Surgical Procedures Humans Aged Machine Learning Male Middle Aged Retrospective Studies Female
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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...
Humans Artificial Intelligence Female Male Middle Aged Deep Learning Young Adult Adult Reproducibility of Results Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Reconstruction Magnetic Resonance Imaging Tibia
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A multiview deep learning-based prediction pipeline augmented with confident learning can improve performance in determining knee arthroplasty candidates.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA May 7, 2024
PURPOSE: Preoperative prudent patient selection plays a crucial role in knee osteoarthritis management but faces challenges in appropriate referrals such as total knee arthroplasty (TKA), unicompartmental knee arthroplasty (UKA) and nonoperative inte...
Radiography Patient Selection Arthroplasty, Replacement, Knee Deep Learning ROC Curve Osteoarthritis, Knee Clinical Decision-Making Female Male Middle Aged Aged Humans
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Age and medial compartmental OA were important predictors of the lateral compartmental OA in the discoid lateral meniscus: Analysis using machine learning approach.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Apr 23, 2024
PURPOSE: The objective of this study was to develop a machine learning model that would predict lateral compartment osteoarthritis (OA) in the discoid lateral meniscus (DLM), from which to then identify factors contributing to lateral compartment OA,...
Humans Female Aged Machine Learning Magnetic Resonance Imaging Osteoarthritis, Knee Menisci, Tibial Age Factors Male Young Adult Middle Aged Adult ROC Curve
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From technical to understandable: Artificial Intelligence Large Language Models improve the readability of knee radiology reports.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Mar 15, 2024
PURPOSE: The purpose of this study was to evaluate the effectiveness of an Artificial Intelligence-Large Language Model (AI-LLM) at improving the readability of knee radiology reports.
Humans Magnetic Resonance Imaging Knee Joint Comprehension Artificial Intelligence Tomography, X-Ray Computed
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A practical guide to the development and deployment of deep learning models for the orthopaedic surgeon: Part III, focus on registry creation, diagnosis, and data privacy.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Mar 1, 2024
Deep learning is a subset of artificial intelligence (AI) with enormous potential to transform orthopaedic surgery. As has already become evident with the deployment of Large Language Models (LLMs) like ChatGPT (OpenAI Inc.), deep learning can rapidl...
Orthopedic Surgeons Deep Learning Registries Privacy Humans Artificial Intelligence
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Artificial intelligence (AI) and large data registries: Understanding the advantages and limitations of contemporary data sets for use in AI research.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Jan 3, 2024
Artificial Intelligence Registries Humans
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The use of deep learning enables high diagnostic accuracy in detecting syndesmotic instability on weight-bearing CT scanning.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Oct 12, 2023
PURPOSE: Delayed diagnosis of syndesmosis instability can lead to significant morbidity and accelerated arthritic change in the ankle joint. Weight-bearing computed tomography (WBCT) has shown promising potential for early and reliable detection of i...
Weight-Bearing Tomography, X-Ray Computed Humans Ankle Injuries Ankle Joint Retrospective Studies Deep Learning Joint Instability
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Artificial intelligence bot ChatGPT in medical research: the potential game changer as a double-edged sword.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Feb 21, 2023
Biomedical Research Humans Artificial Intelligence
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