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[HTML][HTML] Radiomics and deep learning for disease detection in musculoskeletal radiology: an overview of novel MRI-and CT-based approaches
Radiomics and machine learning–based methods offer exciting opportunities for improving
diagnostic performance and efficiency in musculoskeletal radiology for various tasks …
diagnostic performance and efficiency in musculoskeletal radiology for various tasks …
AI applications in musculoskeletal imaging: a narrative review
S Gitto, F Serpi, D Albano, G Risoleo, S Fusco… - European Radiology …, 2024 - Springer
This narrative review focuses on clinical applications of artificial intelligence (AI) in
musculoskeletal imaging. A range of musculoskeletal disorders are discussed using a …
musculoskeletal imaging. A range of musculoskeletal disorders are discussed using a …
Primary bone tumor detection and classification in full-field bone radiographs via YOLO deep learning model
J Li, S Li, X Li, S Miao, C Dong, C Gao, X Liu, D Hao… - European …, 2023 - Springer
Objectives Automatic bone lesions detection and classifications present a critical challenge
and are essential to support radiologists in making an accurate diagnosis of bone lesions. In …
and are essential to support radiologists in making an accurate diagnosis of bone lesions. In …
The role of artificial intelligence in anterior cruciate ligament injuries: current concepts and future perspectives
The remarkable progress in data aggregation and deep learning algorithms has positioned
artificial intelligence (AI) and machine learning (ML) to revolutionize the field of medicine. AI …
artificial intelligence (AI) and machine learning (ML) to revolutionize the field of medicine. AI …
Application of artificial intelligence to the public health education
With the global outbreak of coronavirus disease 2019 (COVID-19), public health has
received unprecedented attention. The cultivation of emergency and compound …
received unprecedented attention. The cultivation of emergency and compound …
[HTML][HTML] Advanced magnetic resonance imaging (MRI) techniques: technical principles and applications in nanomedicine
Simple Summary Magnetic Resonance Imaging (MRI) is a consolidated imaging tool for the
multiparametric assessment of tissues in various pathologies from degenerative and …
multiparametric assessment of tissues in various pathologies from degenerative and …
Deep learning diagnosis and classification of rotator cuff tears on shoulder MRI
Background Detection of rotator cuff tears, a common cause of shoulder disability, can be
time-consuming and subject to reader variability. Deep learning (DL) has the potential to …
time-consuming and subject to reader variability. Deep learning (DL) has the potential to …
Evaluation of a deep learning method for the automated detection of supraspinatus tears on MRI
Objective To evaluate if deep learning is a feasible approach for automated detection of
supraspinatus tears on MRI. Materials and methods A total of 200 shoulder MRI studies …
supraspinatus tears on MRI. Materials and methods A total of 200 shoulder MRI studies …
The role of imaging in osteoarthritis
Osteoarthritis is a complex whole-organ disorder that involves molecular, anatomic, and
physiologic derangement. Advances in imaging techniques have expanded the role of …
physiologic derangement. Advances in imaging techniques have expanded the role of …
Performance of a deep convolutional neural network for MRI-based vertebral body measurements and insufficiency fracture detection
Objectives The aim is to validate the performance of a deep convolutional neural network
(DCNN) for vertebral body measurements and insufficiency fracture detection on lumbar …
(DCNN) for vertebral body measurements and insufficiency fracture detection on lumbar …