AIMC Topic: Radiography
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Deep learning-based identification of vertebral fracture and osteoporosis in lateral spine radiographs and DXA vertebral fracture assessment to predict incident fracture.
Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
May 24, 2025
Deep learning (DL) identification of vertebral fractures and osteoporosis in lateral spine radiographs and DXA vertebral fracture assessment (VFA) images may improve fracture risk assessment in older adults. In 26 299 lateral spine radiographs from 9...
Advanced feature fusion of radiomics and deep learning for accurate detection of wrist fractures on X-ray images.
BMC musculoskeletal disorders
May 20, 2025
OBJECTIVE: The aim of this study was to develop a hybrid diagnostic framework integrating radiomic and deep features for accurate and reproducible detection and classification of wrist fractures using X-ray images.
Artificial intelligence-guided distal radius fracture detection on plain radiographs in comparison with human raters.
Journal of orthopaedic surgery and research
May 16, 2025
BACKGROUND: The aim of this study was to compare the performance of artificial intelligence (AI) in detecting distal radius fractures (DRFs) on plain radiographs with the performance of human raters.
An automated hip fracture detection, classification system on pelvic radiographs and comparison with 35 clinicians.
Scientific reports
May 8, 2025
Accurate diagnosis of orthopedic injuries, especially pelvic and hip fractures, is vital in trauma management. While pelvic radiographs (PXRs) are widely used, misdiagnosis is common. This study proposes an automated system that uses convolutional ne...
Deep Learning Study of Alkaptonuria Spinal Disease Assesses Global and Regional Severity and Detects Occult Treatment Status.
Journal of inherited metabolic disease
May 1, 2025
Deep learning (DL) is increasingly used to analyze medical imaging, but is less refined for rare conditions, which require novel pre-processing and analytical approaches. To assess DL in the context of rare diseases, this study focused on alkaptonuri...
Artificial Intelligence-Guided Assessment of Femoral Neck Fractures in Radiographs: A Systematic Review and Multilevel Meta-Analysis.
Orthopaedic surgery
May 1, 2025
Artificial Intelligence (AI) is a dynamic area of computer science that is constantly expanding its practical benefits in various fields. The aim of this study was to analyze AI-guided radiological assessment of femoral neck fractures by performing a...
A quantitative analysis of symmetry on standard anteroposterior pelvic X-ray.
Acta orthopaedica et traumatologica turcica
Apr 29, 2025
Objective: A pelvic X-ray examination might not be accomplished accurately if the images are not acquired properly. In this study, the aim was to develop an automated model using artificial intelligence capable of accurately quantifying the symmetry ...
Deep learning enables automatic detection of joint damage progression in rheumatoid arthritis-model development and external validation.
Rheumatology (Oxford, England)
Mar 1, 2025
OBJECTIVES: Although deep learning has demonstrated substantial potential in automatic quantification of joint damage in RA, evidence for detecting longitudinal changes at an individual patient level is lacking. Here, we introduce and externally vali...
The impact of AI feedback on the accuracy of diagnosis, decision switching and trust in radiography.
PloS one
Jan 1, 2025
Artificial intelligence decision support systems have been proposed to assist a struggling National Health Service (NHS) workforce in the United Kingdom. Its implementation in UK healthcare systems has been identified as a priority for deployment. Fe...
Application of artificial intelligence in X-ray imaging analysis for knee arthroplasty: A systematic review.
PloS one
Jan 1, 2025
BACKGROUND: Artificial intelligence (AI) is a promising and powerful technology with increasing use in orthopedics. The global morbidity of knee arthroplasty is expanding. This study investigated the use of AI algorithms to review radiographs of knee...
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