AIMC Topic: Musculoskeletal Diseases

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Rehabilitation robotics for the upper extremity: review with new directions for orthopaedic disorders.

Disability and rehabilitation. Assistive technology
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...

Towards trustworthy artificial intelligence in musculoskeletal medicine: A narrative review on uncertainty quantification.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
INTRODUCTION: Deep learning (DL) models have achieved remarkable performance in musculoskeletal (MSK) medical imaging research, yet their clinical integration remains hindered by their black-box nature and the absence of reliable confidence measures....

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
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...

Algorithmic approaches in hand imaging for rheumatic musculoskeletal diseases: A systematic literature review.

Seminars in arthritis and rheumatism
OBJECTIVE: This systematic literature review provides a comprehensive overview of the use of machine learning (ML) in hand imaging of rheumatic musculoskeletal diseases (RMDs). The review evaluates ML algorithms, imaging modalities, patient populatio...

A comparison of performance of DeepSeek-R1 model-generated responses to musculoskeletal radiology queries against ChatGPT-4 and ChatGPT-4o - A feasibility study.

Clinical imaging
OBJECTIVE: Artificial Intelligence (AI) has transformed society and chatbots using Large Language Models (LLM) are playing an increasing role in scientific research. This study aims to assess and compare the efficacy of newer DeepSeek R1 and ChatGPT-...

Applications of machine learning and deep learning in musculoskeletal medicine: a narrative review.

European journal of medical research
Artificial intelligence (AI), with its technologies such as machine perception, robotics, natural language processing, expert systems, and machine learning (ML) with its subset deep learning, have transformed patient care and administration in all fi...

USE OF ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS AND TREATMENT OF ORTHOPEDIC DISEASES: LITERATURE REVIEW.

Georgian medical news
INTRODUCTION: Artificial intelligence techniques such as machine learning have made it possible to create neural networks for the recognition of MRI and X-ray images, which has improved the diagnosis and treatment of orthopedic diseases. The purpose ...

Ethical considerations in telehealth and artificial intelligence for work related musculoskeletal disorders: A scoping review.

Work (Reading, Mass.)
BACKGROUND: Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to perform tasks that typically require human intelligence. The integration of AI and telehealth applications in healthcare raises...

Artificial intelligence in musculoskeletal conditions.

Frontiers in bioscience (Landmark edition)
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...