AIMC Topic: Musculoskeletal Diseases
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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...
Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends.
Seminars in musculoskeletal radiology
Jun 4, 2019
Artificial intelligence (AI) has gained major attention with a rapid increase in the number of published articles, mostly recently. This review provides a general understanding of how AI can or will be useful to the musculoskeletal radiologist. After...
Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning.
Pediatric radiology
Apr 30, 2019
BACKGROUND: An automated method for identifying the anatomical region of an image independent of metadata labels could improve radiologist workflow (e.g., automated hanging protocols) and help facilitate the automated curation of large medical imagin...
Automatic Disease Annotation From Radiology Reports Using Artificial Intelligence Implemented by a Recurrent Neural Network.
AJR. American journal of roentgenology
Jan 30, 2019
OBJECTIVE: Radiology reports are rich resources for biomedical researchers. Before utilization of radiology reports, experts must manually review these reports to identify the categories. In fact, automatically categorizing electronic medical record ...
Fuzzy decision support systems to diagnose musculoskeletal disorders: A systematic literature review.
Computer methods and programs in biomedicine
Jun 6, 2018
BACKGROUND AND OBJECTIVE: Musculoskeletal disorders (MSDs) are one of the most important causes of disability with a high prevalence. The accurate and timely diagnosis of these disorders is often difficult. Clinical decision support systems (CDSSs) c...
A Semi-passive Planar Manipulandum for Upper-Extremity Rehabilitation.
Annals of biomedical engineering
Apr 6, 2018
Robotic rehabilitation is a promising approach to treat individuals with neurological or orthopedic disorders. However, despite significant advancements in the field of rehabilitation robotics, this technology has found limited traction in clinical p...
Rehabilitation robotics for the upper extremity: review with new directions for orthopaedic disorders.
Disability and rehabilitation. Assistive technology
Dec 30, 2016
The focus of research using technological innovations such as robotic devices has been on interventions to improve upper extremity function in neurologic populations, particularly patients with stroke. There is a growing body of evidence describing r...
Artificial intelligence-assisted analysis of musculoskeletal imaging-A narrative review of the current state of machine learning models.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Aug 1, 2025
The potential of Artificial intelligence (AI) is increasingly recognized in musculoskeletal radiology, offering solutions to challenges posed by increasing imaging volumes and fellowship trained radiologist shortages. The integration of AI is not int...
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