AIMC Topic: Musculoskeletal Diseases

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Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images.

PloS one
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
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
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
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
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
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
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
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
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
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...