AIMC Topic: Musculoskeletal Diseases
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Quantification in Musculoskeletal Imaging Using Computational Analysis and Machine Learning: Segmentation and Radiomics.
Seminars in musculoskeletal radiology
Jan 28, 2020
Although still limited in clinical practice, quantitative analysis is expected to increase the value of musculoskeletal (MSK) imaging. Segmentation aims at isolating the tissues and/or regions of interest in the image and is crucial to the extraction...
Improving the Speed of MRI with Artificial Intelligence.
Seminars in musculoskeletal radiology
Jan 28, 2020
Magnetic resonance imaging (MRI) is a leading image modality for the assessment of musculoskeletal (MSK) injuries and disorders. A significant drawback, however, is the lengthy data acquisition. This issue has motivated the development of methods to ...
Artificial Intelligence Explained for Nonexperts.
Seminars in musculoskeletal radiology
Jan 28, 2020
Artificial intelligence (AI) has made stunning progress in the last decade, made possible largely due to the advances in training deep neural networks with large data sets. Many of these solutions, initially developed for natural images, speech, or t...
Musculoskeletal Imaging Applications of Artificial Intelligence.
Seminars in musculoskeletal radiology
Jan 28, 2020
Adaptive predictive systems applied to gait analysis: A systematic review.
Gait & posture
Jan 23, 2020
BACKGROUND: Due to the high susceptivity of the walking pattern to be affected by several disorders, accurate analysis methods are necessary. Given the complexity and relevance of such assessment, the utilization of methods to facilitate it plays a s...
Recent Trends, Technical Concepts and Components of Computer-Assisted Orthopedic Surgery Systems: A Comprehensive Review.
Sensors (Basel, Switzerland)
Nov 27, 2019
Computer-assisted orthopedic surgery (CAOS) systems have become one of the most important and challenging types of system in clinical orthopedics, as they enable precise treatment of musculoskeletal diseases, employing modern clinical navigation syst...
Deep Learning for Lesion Detection, Progression, and Prediction of Musculoskeletal Disease.
Journal of magnetic resonance imaging : JMRI
Nov 25, 2019
Deep learning is one of the most exciting new areas in medical imaging. This review article provides a summary of the current clinical applications of deep learning for lesion detection, progression, and prediction of musculoskeletal disease on radio...
Current applications and future directions of deep learning in musculoskeletal radiology.
Skeletal radiology
Aug 4, 2019
Deep learning with convolutional neural networks (CNN) is a rapidly advancing subset of artificial intelligence that is ideally suited to solving image-based problems. There are an increasing number of musculoskeletal applications of deep learning, w...
Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations.
RMD open
Jul 18, 2019
OBJECTIVE: To assess the current use of big data and artificial intelligence (AI) in the field of rheumatic and musculoskeletal diseases (RMDs).
Artificial Intelligence in Musculoskeletal Imaging: Current Status and Future Directions.
AJR. American journal of roentgenology
Jun 5, 2019
The objective of this article is to show how artificial intelligence (AI) has impacted different components of the imaging value chain thus far as well as to describe its potential future uses. The use of AI has the potential to greatly enhance eve...
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