AIMC Topic: Musculoskeletal Diseases
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An evaluation of AI generated literature reviews in musculoskeletal radiology.
The surgeon : journal of the Royal Colleges of Surgeons of Edinburgh and Ireland
Jan 12, 2024
PURPOSE: The use of artificial intelligence (AI) tools to aid in summarizing information in medicine and research has recently garnered a huge amount of interest. While tools such as ChatGPT produce convincing and naturally sounding output, the answe...
A Stepwise Approach to Analyzing Musculoskeletal Imaging Data With Artificial Intelligence.
Arthritis care & research
Dec 17, 2023
The digitization of medical records and expanding electronic health records has created an era of "Big Data" with an abundance of available information ranging from clinical notes to imaging studies. In the field of rheumatology, medical imaging is u...
Artificial intelligence based real-time video ergonomic assessment and training improves resident ergonomics.
American journal of surgery
Jul 20, 2023
BACKGROUND: Surgery demands long hours and intense exertion raising ergonomic concerns. We piloted a sensorless artificial intelligence (AI)-assisted ergonomics analysis app to determine its feasibility for use with residents.
Improving Workers' Musculoskeletal Health During Human-Robot Collaboration Through Reinforcement Learning.
Human factors
May 22, 2023
OBJECTIVE: This study aims to improve workers' postures and thus reduce the risk of musculoskeletal disorders in human-robot collaboration by developing a novel model-free reinforcement learning method.
Use of artificial neural networks in the prognosis of musculoskeletal diseases-a scoping review.
BMC musculoskeletal disorders
Feb 1, 2023
To determine the current evidence on artificial neural network (ANN) in prognostic studies of musculoskeletal diseases (MSD) and to assess the accuracy of ANN in predicting the prognosis of patients with MSD. The scoping review was reported under the...
SAM-X: sorting algorithm for musculoskeletal x-ray radiography.
European radiology
Oct 29, 2022
OBJECTIVE: To develop a two-phased deep learning sorting algorithm for post-X-ray image acquisition in order to facilitate large musculoskeletal image datasets according to their anatomical entity.
Synthetic CT in Musculoskeletal Disorders: A Systematic Review.
Investigative radiology
Aug 29, 2022
Repeated computed tomography (CT) examinations increase patients' ionizing radiation exposure and health costs, making an alternative method desirable. Cortical and trabecular bone, however, have short T2 relaxation times, causing low signal intensit...
Narrative Review of Machine Learning in Rheumatic and Musculoskeletal Diseases for Clinicians and Researchers: Biases, Goals, and Future Directions.
The Journal of rheumatology
Jul 15, 2022
There has been rapid growth in the use of artificial intelligence (AI) analytics in medicine in recent years, including in rheumatic and musculoskeletal diseases (RMDs). Such methods represent a challenge to clinicians, patients, and researchers, giv...
Reduction in Acquisition Time and Improvement in Image Quality in T2-Weighted MR Imaging of Musculoskeletal Tumors of the Extremities Using a Novel Deep Learning-Based Reconstruction Technique in a Turbo Spin Echo (TSE) Sequence.
Tomography (Ann Arbor, Mich.)
Jul 6, 2022
Background: The aim of this study was to assess the technical feasibility and the impact on image quality and acquisition time of a deep learning-accelerated fat-saturated T2-weighted turbo spin echo sequence in musculoskeletal imaging of the extremi...
Evolution of the biomechanical dimension of the professional gestures of grinders when using a collaborative robot.
International journal of occupational safety and ergonomics : JOSE
May 24, 2022
Using a cobot could relieve workers of strenuous and repetitive tasks while preserving their expertise. To understand the consequences of using a cobot on the occurrence of musculoskeletal disorders (MSDs), within a theoretical framework based on act...
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