AIMC Topic: Radiography

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Predicting rapid progression in knee osteoarthritis: a novel and interpretable automated machine learning approach, with specific focus on young patients and early disease.

Annals of the rheumatic diseases Jan 2, 2025
OBJECTIVES: To facilitate the stratification of patients with osteoarthritis (OA) for new treatment development and clinical trial recruitment, we created an automated machine learning (autoML) tool predicting the rapid progression of knee OA over a ...
Machine Learning Female Aged Adult Humans Age Factors Magnetic Resonance Imaging Radiography Osteoarthritis, Knee Male Middle Aged Disease Progression
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A new distal radius fracture classification depending on the specific fragments through machine learning clustering method.

BMC musculoskeletal disorders Dec 30, 2024
PURPOSES: The objective of this study was to investigate intra-articular distal radius fractures, aiming to provide a comprehensive analysis of fracture patterns and discuss the corresponding treatment strategies for each pattern.
Aged Aged, 80 and over Young Adult Middle Aged Treatment Outcome Hand Strength Radius Fractures Adult Radiography Follow-Up Studies Wrist Fractures Machine Learning Intra-Articular Fractures Male Range of Motion, Articular Fracture Fixation, Internal Wrist Joint Humans Bone Plates Cluster Analysis Retrospective Studies Female
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Automatic Pavlov ratio measurement method based on spinal landmarks identification by a deep-learning model.

Medical physics Dec 23, 2024
BACKGROUND: Cervical canal stenosis is one of the important pathogenic factors of cervical spondylosis. The accuracy of the Pavlov ratio measurement is crucial for the diagnosis and treatment of cervical spinal stenosis. Manual measurement is influen...
Cervical Vertebrae Automation Image Processing, Computer-Assisted Radiography Anatomic Landmarks Humans Deep Learning
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Anatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detection.

RMD open Dec 23, 2024
PURPOSE: To examine whether incorporating anatomy-centred deep learning can improve generalisability and enable prediction of disease progression.
ROC Curve Area Under Curve Radiography Sacroiliac Joint Sacroiliitis Middle Aged Retrospective Studies Disease Progression Female Deep Learning Humans Adult Sensitivity and Specificity Male
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Spine X-ray image segmentation based on deep learning and marker controlled watershed.

Journal of X-ray science and technology Dec 19, 2024
BACKGROUND: The development of automatic methods for vertebral segmentation provides the objective analysis of each vertebra in the spine image, which is important for the diagnosis of various spinal diseases. However, vertebrae have inter-class simi...
Radiography Spine Humans Algorithms Deep Learning Image Processing, Computer-Assisted
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An interpretable deep learning model for hallux valgus prediction.

Computers in biology and medicine Dec 10, 2024
BACKGROUND: This work developed an interpretable deep learning model to automatically annotate landmarks and calculate the hallux valgus angle (HVA) and the intermetatarsal angle (IMA), reducing the time and error of manual calculations by medical ex...
Humans Female Hallux Valgus Male Deep Learning Radiography
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Artificial intelligence (AI) for paediatric fracture detection: a multireader multicase (MRMC) study protocol.

BMJ open Dec 7, 2024
INTRODUCTION: Paediatric fractures are common but can be easily missed on radiography leading to potentially serious implications including long-term pain, disability and missed opportunities for safeguarding in cases of inflicted injury. Artificial ...
Humans Artificial Intelligence Research Design Radiography Retrospective Studies Child Fractures, Bone
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Advances in Artificial Intelligence for automated knee osteoarthritis classification using the IKDC system.

European journal of orthopaedic surgery & traumatology : orthopedie traumatologie Dec 2, 2024
INTRODUCTION: Knee osteoarthritis is one of the most prevalent and debilitating musculoskeletal diseases, with a high incidence among the elderly population. Early detection and accurate classification can improve clinical outcomes for affected patie...
Radiography Osteoarthritis, Knee Humans Sensitivity and Specificity Middle Aged Artificial Intelligence Machine Learning Male Severity of Illness Index Female Aged
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Machine learning is better than surgeons at assessing unicompartmental knee replacement radiographs.

The Knee Nov 30, 2024
BACKGROUND: Poor results occasionally occur after unicompartmental knee replacement (UKR). It is often difficult, even for experienced surgeons, to determine why patients have poor outcomes from radiographs. The aim was to compare the ability of expe...
Middle Aged Female Arthroplasty, Replacement, Knee Aged Radiography Humans Osteoarthritis, Knee Male Knee Joint Machine Learning Retrospective Studies
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Leveraging AI models for lesion detection in osteonecrosis of the femoral head and T1-weighted MRI generation from radiographs.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Nov 23, 2024
This study emphasizes the importance of early detection of osteonecrosis of the femoral head (ONFH) in young patients on long-term glucocorticoid therapy, including those with acute lymphoblastic leukemia, lupus, and other diagnoses. While X-ray and ...
Male Adolescent Humans Magnetic Resonance Imaging Artificial Intelligence Radiography Female Femur Head Young Adult Femur Head Necrosis Adult
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