AIMC Topic: Musculoskeletal Diseases
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Artificial intelligence in musculoskeletal rehabilitation.
Journal of back and musculoskeletal rehabilitation
Jan 1, 2023
Artificial intelligence in musculoskeletal conditions.
Frontiers in bioscience (Landmark edition)
Nov 30, 2021
Artificial intelligence (AI) is an iterative process by which information is captured, transformed into knowledge and processed to produce adaptive changes in the environment. AI is a broad concept, involving virtual (computing) and physical (robotic...
Clinical Artificial Intelligence Applications: Musculoskeletal.
Radiologic clinics of North America
Nov 1, 2021
We present an overview of current clinical musculoskeletal imaging applications for artificial intelligence, as well as potential future applications and techniques.
Does Artificial Intelligence Outperform Natural Intelligence in Interpreting Musculoskeletal Radiological Studies? A Systematic Review.
Clinical orthopaedics and related research
Dec 1, 2020
BACKGROUND: Machine learning (ML) is a subdomain of artificial intelligence that enables computers to abstract patterns from data without explicit programming. A myriad of impactful ML applications already exists in orthopaedics ranging from predicti...
Machine Learning
Reproducibility of Results
Clinical Competence
Humans
Musculoskeletal Diseases
Diagnosis, Differential
Pattern Recognition, Automated
Predictive Value of Tests
Visual Perception
Radiographic Image Interpretation, Computer-Assisted
Ultrasonography
Musculoskeletal System
Magnetic Resonance Imaging
Orthopedic Surgeons
CORR Insights®: Is Deep Learning On Par with Human Observers for Detection of Radiographically Visible and Occult Fractures of the Scaphoid?
Clinical orthopaedics and related research
Nov 1, 2020
Ergonomic intervention on a packing workstation with robotic aid -case study at a furniture manufacturing industry.
Work (Reading, Mass.)
Jan 1, 2020
BACKGROUND: Several risk factors among packing lines workers can lead to Work-related Musculoskeletal Disorders (WRMSD) occurrence. Foreseeing WRMSD prevention and productivity increase, some furniture manufacturing industries have been investing in ...
Efficiency Improvement in a Busy Radiology Practice: Determination of Musculoskeletal Magnetic Resonance Imaging Protocol Using Deep-Learning Convolutional Neural Networks.
Journal of digital imaging
Oct 1, 2018
The purposes of this study are to evaluate the feasibility of protocol determination with a convolutional neural networks (CNN) classifier based on short-text classification and to evaluate the agreements by comparing protocols determined by CNN with...
Automatic Determination of the Need for Intravenous Contrast in Musculoskeletal MRI Examinations Using IBM Watson's Natural Language Processing Algorithm.
Journal of digital imaging
Apr 1, 2018
Magnetic resonance imaging (MRI) protocoling can be time- and resource-intensive, and protocols can often be suboptimal dependent upon the expertise or preferences of the protocoling radiologist. Providing a best-practice recommendation for an MRI pr...
Computer-Aided Orthopaedic Surgery: State-of-the-Art and Future Perspectives.
Advances in experimental medicine and biology
Jan 1, 2018
Introduced more than two decades ago, computer-aided orthopaedic surgery (CAOS) has emerged as a new and independent area, due to the importance of treatment of musculoskeletal diseases in orthopaedics and traumatology, increasing availability of dif...
Applying Machine Learning to Workers' Compensation Data to Identify Industry-Specific Ergonomic and Safety Prevention Priorities: Ohio, 2001 to 2011.
Journal of occupational and environmental medicine
Jan 1, 2018
OBJECTIVE: This study leveraged a state workers' compensation claims database and machine learning techniques to target prevention efforts by injury causation and industry.
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