Cardiovascular

Strokes

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

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Acute and sub-acute stroke lesion segmentation from multimodal MRI.

BACKGROUND AND OBJECTIVE: Acute stroke lesion segmentation tasks are of great clinical interest as t...

Prediction of early neurological deterioration in acute minor ischemic stroke by machine learning algorithms.

OBJECTIVES: A significant proportion of patients with acute minor stroke have unfavorable functional...

Olle Höök Lectureship 2019: The changing world of stroke rehabilitation.

The paper presents a summary of the Olle Höök lecture, which was presented at the Baltic North-Sea F...

Artificial intelligence for early prediction of pulmonary hypertension using electrocardiography.

BACKGROUND: Screening and early diagnosis of pulmonary hypertension (PH) are critical for managing p...

Machine learning volumetry of ischemic brain lesions on CT after thrombectomy-prospective diagnostic accuracy study in ischemic stroke patients.

PURPOSE: Ischemic lesion volume (ILV) is an important radiological predictor of functional outcome i...

Detection of Atrial Fibrillation Using 1D Convolutional Neural Network.

The automatic detection of atrial fibrillation (AF) is crucial for its association with the risk of ...

Quantitative Assessment of Motor Function for Patients with a Stroke by an End-Effector Upper Limb Rehabilitation Robot.

With the popularization of rehabilitation robots, it is necessary to develop quantitative motor func...

Three-dimensional modelling of wheelchair contrived with lower limb exoskeleton for right hemiplegic dysfunction.

Hemiplegia is a type of paralysis that affects one side of the body due to stroke, characterizing se...

Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome.

State-of-the-art machine learning (ML) artificial intelligence methods are increasingly leveraged in...

Augmented Performance Feedback during Robotic Gait Therapy Results in Moderate Intensity Cardiovascular Exercise in Subacute Stroke.

BACKGROUND: Low cardiovascular fitness is common poststroke. Conventional subacute stroke rehabilita...

A Novel Soft Robotic Supernumerary Hand for Severely Affected Stroke Patients.

Upper limb functions are severely affected in 23% of the chronic stroke patients, compromising their...

Effects of robotic gait training after stroke: A meta-analysis.

BACKGROUND: Robotic devices are often used in rehabilitation and might be efficient to improve walki...

Ratchet-integrated pneumatic actuator (RIPA): a large-stroke soft linear actuator inspired by sarcomere muscle contraction.

Pneumatic artificial muscles (PAMs) have a wide range of robotics applications, especially in soft r...

Predicting Optimal Hypertension Treatment Pathways Using Recurrent Neural Networks.

BACKGROUND: In ambulatory care settings, physicians largely rely on clinical guidelines and guidelin...

Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke.

. Accurate prediction of clinical impairment in upper-extremity motor function following therapy in ...

Value of a Machine Learning Approach for Predicting Clinical Outcomes in Young Patients With Hypertension.

Risk stratification of young patients with hypertension remains challenging. Generally, machine lear...

Stroke Prediction with Machine Learning Methods among Older Chinese.

Timely stroke diagnosis and intervention are necessary considering its high prevalence. Previous stu...

Exploring the effect of hypertension on retinal microvasculature using deep learning on East Asian population.

Hypertension is the leading risk factor of cardiovascular disease and has profound effects on both t...

Use of Deep Learning to Predict Final Ischemic Stroke Lesions From Initial Magnetic Resonance Imaging.

IMPORTANCE: Predicting infarct size and location is important for decision-making and prognosis in p...

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