AIMC Topic: Radiography

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Automated Detection of the Thoracic Ossification of the Posterior Longitudinal Ligament Using Deep Learning and Plain Radiographs.

BioMed research international Nov 27, 2023
Ossification of the ligaments progresses slowly in the initial stages, and most patients are unaware of the disease until obvious myelopathy symptoms appear. Consequently, treatment and clinical outcomes are not satisfactory. This study is aimed at d...
Longitudinal Ligaments Treatment Outcome Deep Learning Radiography Decompression, Surgical Thoracic Vertebrae Osteogenesis Ossification of Posterior Longitudinal Ligament Humans Retrospective Studies
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Artificial intelligence in medical imaging is a tool for clinical routine and scientific discovery.

Seminars in arthritis and rheumatism Nov 22, 2023
The emergence of powerful machine learning methodology together with an increasing amount of data collected during clinical routine have fostered a growing role of artificial intelligence (AI) in medicine. Algorithms have become part of clinical care...
Artificial Intelligence Machine Learning Humans Diagnostic Imaging Algorithms Radiography
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Learning to Summarize Chinese Radiology Findings With a Pre-Trained Encoder.

IEEE transactions on bio-medical engineering Nov 21, 2023
Automatic radiology report summarization has been an attractive research problem towards computer-aided diagnosis to alleviate physicians' workload in recent years. However, existing methods for English radiology report summarization using deep learn...
Deep Learning Radiography Humans Radiology Language
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Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging.

Scientific reports Nov 20, 2023
Deep learning in medical imaging has the potential to minimize the risk of diagnostic errors, reduce radiologist workload, and accelerate diagnosis. Training such deep learning models requires large and accurate datasets, with annotations for all tra...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Radiography Deep Learning Diagnostic Imaging Supervised Machine Learning
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Phase retrieval for X-ray differential phase contrast radiography with knowledge transfer learning from virtual differential absorption model.

Computers in biology and medicine Nov 19, 2023
Grating-based X-ray phase contrast radiography and computed tomography (CT) are promising modalities for future medical applications. However, the ill-posed phase retrieval problem in X-ray phase contrast imaging has hindered its use for quantitative...
Radiography X-Rays Machine Learning Tomography, X-Ray Computed Algorithms Image Processing, Computer-Assisted
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Automatic craniomaxillofacial landmarks detection in CT images of individuals with dentomaxillofacial deformities by a two-stage deep learning model.

BMC oral health Nov 17, 2023
BACKGROUND: Accurate cephalometric analysis plays a vital role in the diagnosis and subsequent surgical planning in orthognathic and orthodontics treatment. However, manual digitization of anatomical landmarks in computed tomography (CT) is subject t...
Image Processing, Computer-Assisted Radiography Bone and Bones Cephalometry Tomography, X-Ray Computed Deep Learning Humans
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Cephalometric landmark detection without X-rays combining coordinate regression and heatmap regression.

Scientific reports Nov 16, 2023
Fully automated techniques using convolutional neural networks for cephalometric landmark detection have recently advanced. However, all existing studies have adopted X-rays. The problem of direct exposure of patients to X-ray radiation remains unsol...
Reproducibility of Results Radiography Neural Networks, Computer Female Cephalometry X-Rays Humans
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Utilizing deep learning techniques to improve image quality and noise reduction in preclinical low-dose PET images in the sinogram domain.

Medical physics Nov 15, 2023
BACKGROUND: Low-dose positron emission tomography (LD-PET) imaging is commonly employed in preclinical research to minimize radiation exposure to animal subjects. However, LD-PET images often exhibit poor quality and high noise levels due to the low ...
Humans Neural Networks, Computer Animals Positron-Emission Tomography Signal-To-Noise Ratio Rats Radiography Deep Learning Image Processing, Computer-Assisted
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Fusion of electronic health records and radiographic images for a multimodal deep learning prediction model of atypical femur fractures.

Computers in biology and medicine Nov 13, 2023
Atypical femur fractures (AFF) represent a very rare type of fracture that can be difficult to discriminate radiologically from normal femur fractures (NFF). AFFs are associated with drugs that are administered to prevent osteoporosis-related fragili...
Osteoporotic Fractures Aged Deep Learning Humans Femur Radiography Electronic Health Records Femoral Fractures
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Deeplasia: deep learning for bone age assessment validated on skeletal dysplasias.

Pediatric radiology Nov 13, 2023
BACKGROUND: Skeletal dysplasias collectively affect a large number of patients worldwide. Most of these disorders cause growth anomalies. Hence, evaluating skeletal maturity via the determination of bone age (BA) is a useful tool. Moreover, consecuti...
Age Determination by Skeleton Osteochondrodysplasias Achondroplasia Child Radiography Retrospective Studies Deep Learning Humans
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