Machine learning for brain stroke: a review
Abstract Machine Learning (ML) delivers an accurate and quick prediction outcome and it
has become a powerful tool in health settings, offering personalized clinical care for stroke …
has become a powerful tool in health settings, offering personalized clinical care for stroke …
Machine learning in action: stroke diagnosis and outcome prediction
The application of machine learning has rapidly evolved in medicine over the past decade.
In stroke, commercially available machine learning algorithms have already been …
In stroke, commercially available machine learning algorithms have already been …
Machine learning methods for functional recovery prediction and prognosis in post-stroke rehabilitation: a systematic review
Background Rehabilitation medicine is facing a new development phase thanks to a recent
wave of rigorous clinical trials aimed at improving the scientific evidence of protocols. This …
wave of rigorous clinical trials aimed at improving the scientific evidence of protocols. This …
Machine learning applications in stroke medicine: Advancements, challenges, and future prospectives
M Daidone, S Ferrantelli… - Neural Regeneration …, 2024 - journals.lww.com
Stroke is a leading cause of disability and mortality worldwide, necessitating the
development of advanced technologies to improve its diagnosis, treatment, and patient …
development of advanced technologies to improve its diagnosis, treatment, and patient …
Cross-validation of predictive models for functional recovery after post-stroke rehabilitation
Background Rehabilitation treatments and services are essential for the recovery of post-
stroke patients' functions; however, the increasing number of available therapies and the …
stroke patients' functions; however, the increasing number of available therapies and the …
[HTML][HTML] Evaluation of Rehabilitation Outcomes in Patients with Chronic Neurological Health Conditions Using a Machine Learning Approach
Background: Over one billion people worldwide suffer from neurological conditions that
cause mobility impairments, often persisting despite rehabilitation. Chronic neurological …
cause mobility impairments, often persisting despite rehabilitation. Chronic neurological …
Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches
Background Accurate prediction of motor recovery after stroke is critical for treatment
decisions and planning. Machine learning has been proposed to be a promising technique …
decisions and planning. Machine learning has been proposed to be a promising technique …
[HTML][HTML] AI applications in adult stroke recovery and rehabilitation: a sco** review using AI
Stroke is a leading cause of long-term disability worldwide. With the advancements in
sensor technologies and data availability, artificial intelligence (AI) holds the promise of …
sensor technologies and data availability, artificial intelligence (AI) holds the promise of …
Machine learning analysis to predict the need for ankle foot orthosis in patients with stroke
We investigated the potential of machine learning techniques, at an early stage after stroke,
to predict the need for ankle–foot orthosis (AFO) in stroke patients. We retrospectively …
to predict the need for ankle–foot orthosis (AFO) in stroke patients. We retrospectively …
Machine learning predicts clinically significant health related quality of life improvement after sensorimotor rehabilitation interventions in chronic stroke
WW Liao, YW Hsieh, TH Lee, C Chen, C Wu - Scientific Reports, 2022 - nature.com
Health related quality of life (HRQOL) reflects individuals perceived of wellness in health
domains and is often deteriorated after stroke. Precise prediction of HRQOL changes after …
domains and is often deteriorated after stroke. Precise prediction of HRQOL changes after …