AIMC Topic: Musculoskeletal Diseases
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Acceptance and Commitment Therapy Delivered via a Mobile Phone Messaging Robot to Decrease Postoperative Opioid Use in Patients With Orthopedic Trauma: Randomized Controlled Trial.
Journal of medical Internet research
Jul 29, 2020
BACKGROUND: Acceptance and commitment therapy (ACT) is a pragmatic approach to help individuals decrease avoidable pain.
A novel vision-based real-time method for evaluating postural risk factors associated with musculoskeletal disorders.
Applied ergonomics
May 4, 2020
Real-time risk assessment for work-related musculoskeletal disorders (MSD) has been a challenging research problem. Previous methods such as using depth cameras suffered from limited visual range and wearable sensors could cause intrusiveness to the ...
Measuring Biomechanical Risk in Lifting Load Tasks Through Wearable System and Machine-Learning Approach.
Sensors (Basel, Switzerland)
Mar 11, 2020
Ergonomics evaluation through measurements of biomechanical parameters in real time has a great potential in reducing non-fatal occupational injuries, such as work-related musculoskeletal disorders. Assuming a correct posture guarantees the avoidance...
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...
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