AIMC Topic: Physical Therapy Modalities

Clear Filters Showing 1 to 10 of 200 articles

Safety and efficacy of add-on robotic therapy for early mobilization in intermediate neurocritical care: a pilot study.

Journal of neuroengineering and rehabilitation
BACKGROUND: Early mobilization has become a cornerstone of critical care due to its benefits in mitigating adverse effects associated with prolonged immobility. Individuals with critical neurosurgical conditions face unique challenges for mobilizatio...

Knee osteoarthritis rehabilitation: an integrated framework of exercise, nutrition, biomechanics, and physical therapist guidance-a narrative review.

European journal of medical research
Knee osteoarthritis (KOA) is a prevalent, debilitating chronic joint disease characterized by pain, stiffness, and functional limitations. Non-pharmacological rehabilitation is a fundamental management strategy. This narrative review synthesizes evid...

Cost-effectiveness analysis of robotic exoskeleton versus conventional physiotherapy for stroke rehabilitation in Singapore from a health system perspective.

BMJ open
OBJECTIVES: This study conducted a comprehensive probabilistic cost-effectiveness analysis comparing robotic exoskeleton therapy to conventional physiotherapy for stroke rehabilitation in Singapore, focusing on three patient groups categorised by the...

A cross-sectional study on ChatGPT's alignment with clinical practice guidelines in musculoskeletal rehabilitation.

BMC musculoskeletal disorders
BACKGROUND: AI models like ChatGPT have the potential to support musculoskeletal rehabilitation by providing clinical insights. However, their alignment with evidence-based guidelines needs evaluation before integration into physiotherapy practice.

Comparative evaluation of artificial intelligence models GPT-4 and GPT-3.5 in clinical decision-making in sports surgery and physiotherapy: a cross-sectional study.

BMC medical informatics and decision making
BACKGROUND: The integration of artificial intelligence (AI) in healthcare has rapidly expanded, particularly in clinical decision-making. Large language models (LLMs) such as GPT-4 and GPT-3.5 have shown potential in various medical applications, inc...

Geriatric and gerontological physiotherapy in focus: a cross-sectional survey of education, clinical practice, and service availability across world physiotherapy member nations.

BMC medical education
BACKGROUND: The ageing global population necessitates specialised geriatric/gerontological physiotherapy services (GPTS) to address age-related conditions. We explored the current state of geriatric/gerontological physiotherapy (GPT) academic program...

Kinetic Pattern Recognition in Home-Based Knee Rehabilitation Using Machine Learning Clustering Methods on the Slider Digital Physiotherapy Device: Prospective Observational Study.

JMIR formative research
BACKGROUND: Recent advancements in rehabilitation sciences have progressively used computational techniques to improve diagnostic and treatment approaches. However, the analysis of high-dimensional, time-dependent data continues to pose a significant...

Machine Learning-Based Computer Vision for Depth Camera-Based Physiotherapy Movement Assessment: A Systematic Review.

Sensors (Basel, Switzerland)
Machine learning-based computer vision techniques using depth cameras have shown potential in physiotherapy movement assessment. However, a comprehensive understanding of their implementation, effectiveness, and limitations remains needed. Following ...

Artificial Intelligence in Physical Therapy: Evaluating ChatGPT's Role in Clinical Decision Support for Musculoskeletal Care.

Annals of biomedical engineering
BACKGROUND: The integration of artificial intelligence into medicine has attracted increasing attention in recent years. ChatGPT has emerged as a promising tool for delivering evidence-based recommendations in various clinical domains. However, the a...