Cardiovascular

Strokes

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

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KAT: A Knowledge Adversarial Training Method for Zero-Order Takagi-Sugeno-Kang Fuzzy Classifiers.

While input or output-perturbation-based adversarial training techniques have been exploited to enha...

SSVEP-Based Brain Computer Interface Controlled Soft Robotic Glove for Post-Stroke Hand Function Rehabilitation.

Soft robotic glove with brain computer interfaces (BCI) control has been used for post-stroke hand f...

Reducing the energy cost of walking with low assistance levels through optimized hip flexion assistance from a soft exosuit.

As we age, humans see natural decreases in muscle force and power which leads to a slower, less effi...

Effects of robot-assisted therapy on upper limb and cognitive function in patients with stroke: study protocol of a randomized controlled study.

BACKGROUND: Impairments in upper limb motor function and cognitive ability are major health problems...

DeepStroke: An efficient stroke screening framework for emergency rooms with multimodal adversarial deep learning.

In an emergency room (ER) setting, stroke triage or screening is a common challenge. A quick CT is u...

A Machine Learning Model for Predicting Sit-to-Stand Trajectories of People with and without Stroke: Towards Adaptive Robotic Assistance.

Sit-to-stand and stand-to-sit transfers are fundamental daily motions that enable all other types of...

Prediction of Motor Outcome of Stroke Patients Using a Deep Learning Algorithm with Brain MRI as Input Data.

BACKGROUND: Deep learning techniques can outperform traditional machine learning techniques and lear...

Stroke Risk Prediction with Machine Learning Techniques.

A stroke is caused when blood flow to a part of the brain is stopped abruptly. Without the blood sup...

MTPA_Unet: Multi-Scale Transformer-Position Attention Retinal Vessel Segmentation Network Joint Transformer and CNN.

Retinal vessel segmentation is extremely important for risk prediction and treatment of many major d...

Improved Analysis of COVID-19 Influenced Pneumonia from the Chest X-Rays Using Fine-Tuned Residual Networks.

COVID-19 has remained a threat to world life despite a recent reduction in cases. There is still a p...

[Early mobilization in the intensive care unit-Are robot-assisted systems the future?].

BACKGROUND: Intensive care unit (ICU) acquired weakness is associated with reduced physical function...

Optimization of Cyber Tactics in Sports Strategies Using Hybrid AI Decision-Making Technologies.

One of the main problems of modern research concerns the optimal design of solutions to address cybe...

Pilot Report for Intracranial Hemorrhage Detection with Deep Learning Implanted Head Computed Tomography Images at Emergency Department.

Hemorrhagic stroke is a serious clinical condition that requires timely diagnosis. An artificial int...

Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning.

Cardiovascular diseases (CVD) are the leading cause of death worldwide. People affected by CVDs may ...

APANet: Auto-Path Aggregation for Future Instance Segmentation Prediction.

Despite the remarkable progress achieved in conventional instance segmentation, the problem of predi...

Effects of control strategies on gait in robot-assisted post-stroke lower limb rehabilitation: a systematic review.

BACKGROUND: Stroke related motor function deficits affect patients' likelihood of returning to profe...

Soft robotic exosuit augmented high intensity gait training on stroke survivors: a pilot study.

BACKGROUND: Stroke is a leading cause of serious gait impairments and restoring walking ability is a...

Soft, Lightweight Wearable Robots to Support the Upper Limb in Activities of Daily Living: A Feasibility Study on Chronic Stroke Patients.

Stroke can be a devastating condition that impairs the upper limb and reduces mobility. Wearable rob...

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