Cardiovascular

Hypertension

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

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Efficient method for analyzing MR real-time cines: Toward accurate quantification of left ventricular function.

BACKGROUND: To develop and assess an efficient method to identify end-expiratory end-diastolic (ED) ...

Mar 2015 25727686
PhenoMiner: a quantitative phenotype database for the laboratory rat, Rattus norvegicus. Application in hypertension and renal disease.

Rats have been used extensively as animal models to study physiological and pathological processes i...

Jan 2015 25632109
Determining the appropriate amount of anesthetic gas using DWT and EMD combined with neural network.

The spectrum of EEG has been studied to predict the depth of anesthesia using variety of signal proc...

(1)
Dec 2014 25472730
Predictive modeling for stroke using routine clinical and socio-demographic data in Uganda

Stroke is a leading cause of mortality and disability in Uganda, with a prevalence of approximately ...

Clinical radar heart sounds with echocardiographic phenotypes of ventricular dysfunction and valvular disease

Radar heart sounds capture cardiac mechanical activity without contact, while echocardiography chara...

TernScope: Model-Hardware Co-Design for Efficient Ternary Endoscopic Segmentation

Edge medical segmentation must reconcile small model size, high accuracy, and fast inference. TernSc...

(3)
AI-Based Screening Approach for Primary Aldosteronism Using Longitudinal Electronic Health Records

Context Current guidelines for primary aldosteronism (PA) recommend screening all patients with hype...

(3)
One Frame, Full Heartbeat: ECG-Free 4D Cardiac Cine MRI Synthesis via Radial-Decomposed Flow Matching

Cine cardiovascular magnetic resonance (CMR) captures the cardiac cycle as a four-dimensional (4D) s...

Multi-task learning for the automatic grading of enlarged perivascular space burden using MRI

Enlarged perivascular spaces (PVS) visible in brain magnetic resonance imaging (MRI) are increasingl...

ExpertoRhythm: Morphology-Aware Learning for Waveform Reconstruction and Cuffless Blood Pressure Estimation from Single-Channel PPG

Continuous cuffless blood pressure (BP) monitoring from photoplethysmography (PPG) has strong potent...

Feedback-Robust AI for Patient Knowledge Graphs

Patient knowledge graphs from bedside monitoring should type their relations and state whether the d...

K-space Optimized Spatial Temporal Architecture for Low Latency in Interventional Cardiac MRI

Purpose: To develop and evaluate a recurrent neural network that operates directly on undersampled g...

Real-time Generalizable Heart Valve Mechanics for Clinical Disease Assessment via a Physics-Conditioned Neural Operator

Mitral regurgitation is the most common heart valve disorder worldwide, affecting over 2% of the glo...

HCM-PhenotypeNet: Deep Multimodal Phenotyping of Hypertrophic Cardiomyopathy from Echocardiographic Video and Clinical Data

Abstract Background: Hypertrophic cardiomyopathy (HCM) is a heterogeneous condition with variable mo...

The segmentation ceiling: why explicit left-ventricular masks do not improve learned ejection-fraction regression

Accurate estimation of left ventricular ejection fraction (EF) from echocardiography is central to c...

Predicting Conversion from SCD to MCI: A Machine Learning Study

BACKGROUND: Subjective cognitive decline (SCD) may precede mild cognitive impairment (MCI), but not ...

Novel Large Language Model-Based Detection of Echocardiographic Markers of Right Ventricular Dysfunction

Background: Unstructured biomedical data, such as echocardiography reports, are rich in information ...

Calibration-Free Cuffless Blood Pressure Estimation Using Multimodal ECG-PPG Fusion on a Google Pixel Watch

Inadequate blood pressure (BP) monitoring and management outside of clinical settings can worsen maj...

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