Cardiovascular

Strokes

Latest AI and machine learning research in strokes for healthcare professionals.

3,017 articles
Stay Ahead - Weekly Strokes research updates
Subscribe
Browse Categories
Showing 1891-1911 of 3,017 articles
Ex-vivo antihypertensive and calcium channel blocking activity of Androsace foliosa n-hexane leaves fraction on isolated rabbit aorta.

Hypertension is persistent elevation in blood pressure for 3-4 weeks. Estimated global prevalence of...

Predictors of functional and motor outcomes following upper limb robot-assisted therapy after stroke.

Robot-assisted therapy is an effective treatment for stroke patients and has recently gained popular...

Predicting Gastrointestinal Bleeding Events from Multimodal In-Hospital Electronic Health Records Using Deep Fusion Networks.

Applying machine learning (ML) methods on electronic health records (EHRs) that accurately predict t...

Deep Learning Approach for Highly Specific Atrial Fibrillation and Flutter Detection based on RR Intervals.

Atrial fibrillation (AF) and atrial flutter (AFL) represent atrial arrhythmias closely related to in...

A robot-assisted sensorimotor training program can improve proprioception and motor function in stroke survivors.

Proprioceptive deficits are common among stroke survivors and are associated with slower motor recov...

Robot-Based Measures of Upper Limb Cognitive-Motor Interference Across the HIV-Stroke Spectrum.

Robot-based neurorehabilitation strategies often ignore cognitive performance during treatment, but ...

Immediate Effects of Force Feedback and Plantar Somatosensory Stimuli on Inter-limb Coordination During Perturbed Walking.

Single-sided motor weakness, also known as hemiparesis, is the most prevalent gait impairment among ...

Design of a 3D Printed Soft Robotic Hand for Stroke Rehabilitation and Daily Activities Assistance.

In this paper, we present the new personalized 3D printed soft robotic hand for providing rehabilita...

Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models.

Highly accurate detection of the intracranial hemorrhage without delay is a critical clinical issue ...

Machine Learning-Based Model for Prediction of Outcomes in Acute Stroke.

Background and Purpose- The prediction of long-term outcomes in ischemic stroke patients may be usef...

The economic cost of robotic rehabilitation for adult stroke patients: a systematic review.

OBJECTIVE: The objective of this review was to examine the economic cost of robotic therapy compared...

Discovery of Distinct Immune Phenotypes Using Machine Learning in Pulmonary Arterial Hypertension.

RATIONALE: Accumulating evidence implicates inflammation in pulmonary arterial hypertension (PAH) an...

Deep Learning Natural Language Processing Successfully Predicts the Cerebrovascular Cause of Transient Ischemic Attack-Like Presentations.

Background and Purpose- Triaging of referrals to transient ischemic attack (TIA) clinics is aided by...

Rhythmic robotic training enhances motor skills of both rhythmic and discrete upper-limb movements after stroke: a longitudinal pilot study.

Discrete and rhythmic movements are two fundamental motor primitives being, at least partially, cont...

A Hybrid Approach for Sub-Acute Ischemic Stroke Lesion Segmentation Using Random Decision Forest and Gravitational Search Algorithm.

BACKGROUND: The sub-acute ischemic stroke is the most basic illnesses reason for death on the planet...

Efficacy of end-effector Robot-Assisted Gait Training in subacute stroke patients: Clinical and gait outcomes from a pilot bi-centre study.

BACKGROUND: End-effector robots allow intensive gait training in stroke subjects and promote a succe...

Feasibility of an Electromyography-Triggered Hand Robot for People After Chronic Stroke.

IMPORTANCE: Effective treatment of the affected hand after stroke is crucial for improved functional...

Comparative Assessment of Two Robot-Assisted Therapies for the Upper Extremity in People With Chronic Stroke.

OBJECTIVE: We investigated the effects on motor and daily function of robot-assisted therapies in pe...

Improving Detection of Early Chronic Obstructive Pulmonary Disease.

Despite being a major cause of morbidity and mortality, chronic obstructive pulmonary disease (COPD)...

Browse Categories