AIMC Topic: Disability Evaluation
Clear Filters Showing 61 to 70 of 91 articles
Identifying Neuroimaging Markers of Motor Disability in Acute Stroke by Machine Learning Techniques.
Cerebral cortex (New York, N.Y. : 1991)
May 16, 2014
Conventional mass-univariate analyses have been previously used to test for group differences in neural signals. However, machine learning algorithms represent a multivariate decoding approach that may help to identify neuroimaging patterns associate...
Work-rate-guided exercise testing in patients with incomplete spinal cord injury using a robotics-assisted tilt-table.
Disability and rehabilitation. Assistive technology
Apr 8, 2014
PURPOSE: Robotics-assisted tilt-table (RTT) technology allows neurological rehabilitation therapy to be started early thus alleviating some secondary complications of prolonged bed rest. This study assessed the feasibility of a novel work-rate-guided...
Effects of an artificial intelligence-based exercise program on pain intensity and disability in patients with neck pain compared with group exercise therapy: A cohort study.
Journal of bodywork and movement therapies
Jun 1, 2025
OBJECTIVES: This study compares the effects of an artificial intelligence app-based exercise program with group exercise therapy on pain intensity and neck-related disability in patients with neck pain.
Estimating individualized effectiveness of receiving successful recanalization for ischemic stroke cases using machine learning techniques.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Jun 1, 2025
OBJECTIVES: Directly measuring the causal effect of mechanical thrombectomy (MT) for each ischemic stroke patient remains challenging, as it is impossible to observe the outcomes for both with and without successful recanalization in the same individ...
Machine Learning
Decision Support Techniques
Precision Medicine
Retrospective Studies
Clinical Decision-Making
Humans
Treatment Outcome
Male
Recovery of Function
Functional Status
Middle Aged
Predictive Value of Tests
Patient Selection
Risk Assessment
Ischemic Stroke
Thrombectomy
Time Factors
Thrombolytic Therapy
Female
Disability Evaluation
Risk Factors
Aged
Aged, 80 and over
Predicting 5-Year EDSS in Multiple Sclerosis with LSTM Networks: A Deep Learning Approach to Disease Progression.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Jun 1, 2025
BACKROUNDS: Multiple Sclerosis (MS) is a neurodegerative disease that is common worldwide, has no definitive cure yet, and negatively affects the individual's quality of life due to disease-related disability. Predicting disability in MS is difficult...
Prioritizing disability support systems by using Tamir's complex fuzzy Dombi aggregation operators.
Scientific reports
May 20, 2025
Fuzzy sets can model the inherent ambiguity and subjectivity in disability assessment by allowing for flexible classification and decision-making. This contributes to the development of flexible clinical support systems that are effective in meeting ...
Construction of disability risk prediction model for the elderly based on machine learning.
Scientific reports
May 9, 2025
The study aimed to develop a predictive model using machine learning algorithms, providing healthcare professionals with a novel tool for assessing disability risk in older adults. Data from the 2018 and 2020 waves of the China Health and Retirement ...
Developing an Accumulative Assessment System of Upper Extremity Motor Function in Patients With Stroke Using Deep Learning.
Physical therapy
Jun 4, 2024
OBJECTIVE: The Fugl-Meyer assessment for upper extremity (FMA-UE) is a measure for assessing upper extremity motor function in patients with stroke. However, the considerable administration time of the assessment decreases its feasibility. This study...
A 10-item Fugl-Meyer Motor Scale Based on Machine Learning.
Physical therapy
Apr 4, 2021
OBJECTIVE: The Fugl-Meyer motor scale (FM) is a well-validated measure for assessing upper extremity and lower extremity motor functions in people with stroke. The FM contains numerous items (50), which reduces its clinical usability. The purpose of ...
Robotic-assisted locomotor treadmill therapy does not change gait pattern in children with cerebral palsy.
International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation
Mar 1, 2021
Although robotic-assisted locomotor treadmill therapy is utilized on children with cerebral palsy (CP), its impact on the gait pattern in childhood is not fully described. We investigated the outcome of robotized gait training focusing on the gait pa...
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 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- 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 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823