AIMC Topic: Knee Injuries
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Diagnosis of knee meniscal injuries using artificial intelligence: A systematic review and meta-analysis of diagnostic performance.
PloS one
Jun 24, 2025
AIM OF THE STUDY: The aim was to systematically review the literature and perform a meta-analysis to estimate the performance of artificial intelligence (AI) algorithms in detecting meniscal injuries.
Stress radiography of medial knee instability provides a reliable correlation with the severity of injury and medial joint space opening-A robotic biomechanical cadaveric study.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Jan 22, 2025
PURPOSE: The medial collateral ligament (MCL), and posterior oblique ligament (POL) are the primary valgus stabilisers of the knee, and clinical examinations in grading valgus instability can be inherently subjective. Stress radiography of medial-sid...
MRI deep learning models for assisted diagnosis of knee pathologies: a systematic review.
European radiology
Oct 18, 2024
OBJECTIVES: Despite showing encouraging outcomes, the precision of deep learning (DL) models using different convolutional neural networks (CNNs) for diagnosis remains under investigation. This systematic review aims to summarise the status of DL MRI...
A Robotic Clamped-Kinematic System to Study Knee Ligament Injury.
Annals of biomedical engineering
Oct 2, 2024
Knee ligament injury is among the most common sports injuries and is associated with long recovery periods and low return-to-sport rates. Unfortunately, the mechanics of ligament injury are difficult to study in vivo, and computational studies provid...
Deep Learning Reconstructed New-Generation 0.55 T MRI of the Knee-A Prospective Comparison With Conventional 3 T MRI.
Investigative radiology
Jun 11, 2024
OBJECTIVES: The aim of this study was to compare deep learning reconstructed (DLR) 0.55 T magnetic resonance imaging (MRI) quality, identification, and grading of structural anomalies and reader confidence levels with conventional 3 T knee MRI in pat...
Artificial intelligence for detection of effusion and lipo-hemarthrosis in X-rays and CT of the knee.
European journal of radiology
Apr 10, 2024
BACKGROUND: Traumatic knee injuries are challenging to diagnose accurately through radiography and to a lesser extent, through CT, with fractures sometimes overlooked. Ancillary signs like joint effusion or lipo-hemarthrosis are indicative of fractur...
Exudates and Transudates
Knee Injuries
Hemarthrosis
Artificial Intelligence
Adult
Aged
Algorithms
Aged, 80 and over
Sensitivity and Specificity
Young Adult
Humans
Male
Middle Aged
Radiographic Image Interpretation, Computer-Assisted
Retrospective Studies
Adolescent
Knee Joint
Tomography, X-Ray Computed
Female
Feasibility of AI-assisted compressed sensing protocols in knee MR imaging: a prospective multi-reader study.
European radiology
Jun 29, 2023
OBJECTIVES: To evaluate the image quality and diagnostic performance of AI-assisted compressed sensing (ACS) accelerated two-dimensional fast spin-echo MRI compared with standard parallel imaging (PI) in clinical 3.0T rapid knee scans.
Does robot-assisted percutaneous hollow screw placement combined with tarsal sinus incision reduction in the treatment of calcaneal fracture perform better at a minimum two year follow-up compared with traditional surgical reduction and fixation?
International orthopaedics
Mar 18, 2023
PURPOSE: We aimed to evaluate the safety and efficacy of robot-assisted percutaneous hollow screw placement combined with tarsal sinus incisions for treating calcaneal fractures.
Comparison of Robot-Assisted Percutaneous Cannulated Screws Versus Open Reduction and Internal Fixation in Calcaneal Fractures.
Orthopaedic surgery
Jan 4, 2023
OBJECTIVE: Accurate placement of the screws is challenging in percutaneous cannulated screw fixation of calcaneal fractures, and robot-assisted (RA) surgery enhances the accuracy. We investigated the outcome of percutaneous cannulated screw fixation ...
Automated Detection Model Based on Deep Learning for Knee Joint Motion Injury due to Martial Arts.
Computational and mathematical methods in medicine
May 17, 2022
OBJECTIVE: Develop a set of knee joint martial arts injury monitoring models based on deep learning, train and evaluate the model's effectiveness.
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