Cardiovascular

Strokes

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

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Multimodal nomogram integrating deep learning radiomics and hemodynamic parameters for early prediction of post-craniotomy intracranial hypertension.

To evaluate the effectiveness of deep learning radiomics nomogram in distinguishing early intracrani...

Optimization for threat classification of various data types-based on ML model and LLM.

With the development of AI technology, the number of cyber security threats that exploit it is incre...

Multisensory BCI promotes motor recovery via high-order network-mediated interhemispheric integration in chronic stroke.

BACKGROUND: Chronic stroke patients often experience persistent motor impairments, and current rehab...

Metabolomic biomarkers could be molecular clocks in timing stroke onset.

The preferred treatment for acute ischaemic stroke (AIS) is intravenous thrombolysis (IVT) administe...

Machine learning and transformer models for prediction of postoperative pneumonia risk in patients with lower limb fractures.

Postoperative pneumonia, a prevalent complication arising from lower limb fracture surgery, can sign...

Automatic melanoma detection using an optimized five-stream convolutional neural network.

Melanoma is among the deadliest forms of malignant skin cancer, with the number of cases increasing ...

A modified generative adversarial networks method for assisting the diagnosis of deep venous thrombosis complications in stroke patients.

Discriminate deep vein thrombosis, one of the complications in early stroke patients, in order to as...

Machine Learning simulations reveal oxygen's phase diagram and thermal properties at conditions relevant to white dwarfs.

Current studies show that oxygen does not aggregate into a polymeric phase even under pressures up t...

Predicting Retinal Nerve Fiber Layer Thickness From Ocular Hypertension Treatment Study Optic Disc Photographs.

IMPORTANCE: Deep learning predictions of retinal nerve fiber layer (RNFL) thickness derived from opt...

Machine learning prediction models for stroke-associated pneumonia:Meta-analysis.

OBJECTIVE: The heterogeneity of machine learning (ML) models predicting the risk of stroke-associate...

Ultrasound Displacement Tracking Techniques for Post-Stroke Myofascial Shear Strain Quantification.

OBJECTIVE: Ultrasound shear strain is a potential biomarker of myofascial dysfunction. However, the ...

From "time is brain" to "time is collaterals": updates on the role of cerebral collateral circulation in stroke.

BACKGROUND: Acute ischemic stroke (AIS) remains the leading cause of mortality and disability worldw...

Disease entity impacts muscle wasting in the ICU with COVID-19 patients losing muscle nearly twice as fast.

Muscle loss in critically ill patients, particularly during prolonged ICU stays, poses significant c...

Exploring the potential biomarkers between stroke and obstructive sleep apnea by WGCNA and machine learning.

BACKGROUND: Ischemic stroke (IS) and obstructive sleep apnea (OSA) are highly prevalent disorders wi...

Emergency radiology: roadmap for radiology departments.

Emergency radiology has evolved into a significant subspecialty over the past 2 decades, facing uniq...

Prevalence and determinants of hypertension among adults of reproductive age in Tanzania: analysis of a cross-sectional Demographic and Health Survey.

OBJECTIVE: We aimed to estimate prevalence and identify determinants of hypertension in adults aged ...

Data extraction from free-text stroke CT reports using GPT-4o and Llama-3.3-70B: the impact of annotation guidelines.

BACKGROUND: To evaluate the impact of an annotation guideline on the performance of large language m...

Can CTA-based Machine Learning Identify Patients for Whom Successful Endovascular Stroke Therapy is Insufficient?

BACKGROUND AND PURPOSE: Despite advances in endovascular stroke therapy (EST) devices and techniques...

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