AIMC Topic: Disability Evaluation
Clear Filters Showing 1 to 10 of 93 articles
External validation of a prediction model for disability and pain after lumbar disc herniation surgery: a prospective international registry-based cohort study.
Acta orthopaedica
Jul 7, 2025
BACKGROUND AND PURPOSE: We aimed to externally validate machine learning models developed in Norway by evaluating their predictive outcome of disability and pain 12 months after lumbar disc herniation surgery in a Swedish and Danish cohort.
Effects of device-assisted practice of activities of daily living in a close-to-normal pattern on upper extremity motor recovery in individuals with moderate to severe stroke: study protocol of a randomized control trial.
Trials
Jul 4, 2025
BACKGROUND: The majority of individuals with chronic stroke have residual upper extremity (UE) disability which they cite as their greatest barrier to recovery. Using orthoses, robotic devices, and functional electrical stimulation (FES) represent re...
Clinical Protocols
Equipment Design
Treatment Outcome
Recovery of Function
Stroke
Paresis
Robotics
Activities of Daily Living
Motor Activity
Disability Evaluation
Humans
Orthotic Devices
Upper Extremity
Double-Blind Method
Research Design
Electric Stimulation Therapy
Severity of Illness Index
Stroke Rehabilitation
Time Factors
Using graph machine learning to identify functioning in patients with low back pain in terms of ICF.
Scientific reports
Jul 2, 2025
As a comprehensive perspective on functioning is useful in patient assessments, the WHO developed the International Classification of Functioning, Disability, and Health (ICF) to provide a standardized terminology and framework for describing and cla...
Research on the evaluation and rehabilitation training system of upper limb motor function for poststroke patients based on artificial intelligence: a study protocol for a randomized controlled trial.
Trials
Jun 13, 2025
BACKGROUND: Stroke-induced upper limb dysfunction requires functional assessment and rehabilitation. The intelligent rehabilitation assessment and virtual reality training system for upper limb motor function in stroke can accurately and objectively ...
AI-assisted identification of disability patterns within identical EDSS grades.
Multiple sclerosis (Houndmills, Basingstoke, England)
Apr 18, 2025
BACKGROUND: The Neurostatus-Expanded Disability Status Scale (EDSS) is the most frequently used measure of disability in multiple sclerosis (MS) trials. However, EDSS scores ⩾4.5 are mainly based on ambulation and may fail to capture relevant disabil...
Machine Learning-based World Health Organization Disability Assessment Schedule for persons with Parkinson's disease.
Parkinsonism & related disorders
Feb 4, 2025
INTRODUCTION: The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) is a well-known measure to assess disability in persons with Parkinson's disease (PD). The purpose of this study was to develop a short form of the WHODAS 2.0...
Risk prediction of functional disability among middle-aged and older adults with arthritis: A nationwide cross-sectional study using interpretable machine learning.
International journal of orthopaedic and trauma nursing
Feb 4, 2025
BACKGROUND: Arthritis is a common chronic disease among middle-aged and older adults and is strongly related to functional decline.
Functional Disability and Psychological Impact in Headache Patients: A Comparative Study Using Conventional Statistics and Machine Learning Analysis.
Medicina (Kaunas, Lithuania)
Jan 22, 2025
: Recent research has focused on exploring the relationships between various factors associated with headaches and understanding their impact on individuals' psychological states. Utilizing statistical methods and machine learning models, these studi...
Test-Retest Reliability and Responsiveness of the Machine Learning-Based Short-Form of the Berg Balance Scale in Persons With Stroke.
Archives of physical medicine and rehabilitation
Nov 9, 2024
OBJECTIVE: To examine the test-retest reliability, responsiveness, and clinical utility of the machine learning-based short form of the Berg Balance Scale (BBS-ML) in persons with stroke.
Identifying factors associated with locomotive syndrome using machine learning methods: The third survey of the research on osteoarthritis/osteoporosis against disability study.
Geriatrics & gerontology international
Jun 29, 2024
AIM: To identify factors associated with locomotive syndrome (LS) using medical questionnaire data and machine learning.
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31964
- Neural Networks, Computer 30201
- Algorithms 27375
- Deep Learning 26880
- Artificial Intelligence 24817
- Robotics 13382
- Image Processing, Computer-Assisted 9730
- Retrospective Studies 9328
- Magnetic Resonance Imaging 6341
- Reproducibility of Results 5670
- Tomography, X-Ray Computed 4863
- Support Vector Machine 4762
- Computational Biology 4328
- Brain 4125
- Computer Simulation 3932
Recent Journals
- Scientific reports 6689
- Sensors (Basel, Switzerland) 4794
- PloS one 4186
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1915
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1167
- Journal of chemical information and modeling 1059
- Nature communications 1029
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 872
- Journal of medical Internet research 853
- Briefings in bioinformatics 853