AIMC Topic: Musculoskeletal Diseases
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Virtual Clinical Trials: Implications of Computer Simulations and Artificial Intelligence for Musculoskeletal Research.
The Journal of bone and joint surgery. American volume
Jun 20, 2024
In silico clinical trials, particularly when augmented with artificial intelligence methods, represent an innovative approach with much to offer, particularly in the musculoskeletal field. They are a cost-effective, efficient, and ethical means of ev...
Artificial intelligence in musculoskeletal imaging: realistic clinical applications in the next decade.
Skeletal radiology
Jun 20, 2024
This article will provide a perspective review of the most extensively investigated deep learning (DL) applications for musculoskeletal disease detection that have the best potential to translate into routine clinical practice over the next decade. D...
[Accelerated musculoskeletal magnetic resonance imaging with deep learning-based image reconstruction at 0.55 T-3 T].
Radiologie (Heidelberg, Germany)
Jun 12, 2024
CLINICAL/METHODICAL ISSUE: Magnetic resonance imaging (MRI) is a central component of musculoskeletal imaging. However, long image acquisition times can pose practical barriers in clinical practice.
Improved Resolution and Image Quality of Musculoskeletal Magnetic Resonance Imaging using Deep Learning-based Denoising Reconstruction: A Prospective Clinical Study.
Skeletal radiology
Apr 24, 2024
OBJECTIVE: To prospectively evaluate a deep learning-based denoising reconstruction (DLR) for improved resolution and image quality in musculoskeletal (MSK) magnetic resonance imaging (MRI).
Exploring the impact of pathogenic microbiome in orthopedic diseases: machine learning and deep learning approaches.
Frontiers in cellular and infection microbiology
Apr 3, 2024
Osteoporosis, arthritis, and fractures are examples of orthopedic illnesses that not only significantly impair patients' quality of life but also complicate and raise the expense of therapy. It has been discovered in recent years that the pathophysio...
Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images.
PloS one
Mar 11, 2024
Musculoskeletal conditions affect an estimated 1.7 billion people worldwide, causing intense pain and disability. These conditions lead to 30 million emergency room visits yearly, and the numbers are only increasing. However, diagnosing musculoskelet...
Improved REBA: deep learning based rapid entire body risk assessment for prevention of musculoskeletal disorders.
Ergonomics
Feb 29, 2024
Preventing work-related musculoskeletal disorders (WMSDs) is crucial in reducing their impact on individuals and society. However, the existing mainstream 2D image-based approach is insufficient in capturing the complex 3D movements and postures invo...
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.
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