Cardiovascular

Strokes

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

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Development of a deep neural network model for ultra-early neurological deterioration in ischemic stroke and analysis of associated risk factors.

BACKGROUND: In this study, we established a deep neural network (DNN)-based predictive model, aiming...

Jun 2025 40286395
Postoperative self-care ability of continuous nursing based on artificial intelligence for stroke patients with neurological injury.

According to the statistics of relevant data, stroke is a relatively common cerebrovascular disease,...

Jun 2025 40360084
Exploring trade-offs in equitable stroke risk prediction with parity-constrained and race-free models.

A recent analysis of common stroke risk prediction models showed that performance differs between Bl...

Jun 2025 40253926
Estimating individualized effectiveness of receiving successful recanalization for ischemic stroke cases using machine learning techniques.

OBJECTIVES: Directly measuring the causal effect of mechanical thrombectomy (MT) for each ischemic s...

Jun 2025 40254242
Enhanced neuroplasticity and gait recovery in stroke patients: a comparative analysis of active and passive robotic training modes.

BACKGROUND: Stroke is a leading cause of long-term disability, with lower limb dysfunction being a c...

May 2025 40450196
A SHAP-based explainable multi-level stacking ensemble learning method for predicting the length of stay in acute stroke

Length of stay (LOS) prediction in acute stroke is critical for improving care planning. Existing ...

The analysis of motion recognition model for badminton player movements using machine learning.

This study aims to comprehensively analyze and classify the badminton players' swing actions by comb...

May 2025 40447635
Deep convolutional fuzzy neural networks with stork optimization on chronic cardiovascular disease monitoring for pervasive healthcare services.

Cardiovascular disease (CVD) is one of the severe disorders that requires effectual solutions. CVD m...

May 2025 40447750
Imaging-based machine learning to evaluate the severity of ischemic stroke in the middle cerebral artery territory.

OBJECTIVES: This study aims to develop an imaging-based machine learning model for evaluating the se...

May 2025 40448023
Revolutionizing stroke prediction: a systematic review of AI-powered wearable technologies for early detection of stroke.

Wearable technology, combined with artificial intelligence (AI) and machine learning (ML) algorithms...

May 2025 40439800
3DGS Compression with Sparsity-guided Hierarchical Transform Coding

3D Gaussian Splatting (3DGS) has gained popularity for its fast and high-quality rendering, but it...

A Human-Centric Approach to Explainable AI for Personalized Education

Deep neural networks form the backbone of artificial intelligence research, with potential to tran...

Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation

Few-Shot Medical Image Segmentation (FSMIS) has been widely used to train a model that can perform...

Intelligent Incident Hypertension Prediction in Obstructive Sleep Apnea

Obstructive sleep apnea (OSA) is a significant risk factor for hypertension, primarily due to inte...

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models

Large Language Models (LLMs) have achieved remarkable success in Natural Language Processing (NLP)...

First nomogram for predicting interstitial lung disease and pulmonary arterial hypertension in SLE: a machine learning approach.

BACKGROUND: Interstitial lung disease (ILD) and pulmonary arterial hypertension (PAH) are severe, li...

May 2025 40413556
[Artificial intelligence-based automated assessment of coronary flow reserve from angiography and the impact of different vasodilators].

To explore the feasibility of a coronary angiography-based method developed with artificial intelli...

May 2025 40389339
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