Cardiovascular

Congestive Heart Failure

Latest AI and machine learning research in congestive heart failure for healthcare professionals.

4,489 articles
Stay Ahead - Weekly Congestive Heart Failure research updates
Subscribe
Browse Categories
Showing 1618-1638 of 4,489 articles
[Automatic detection model of hypertrophic cardiomyopathy based on deep convolutional neural network].

The diagnosis of hypertrophic cardiomyopathy (HCM) is of great significance for the early risk class...

Apr 2022 35523549
High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy With Cardiovascular Deep Learning.

IMPORTANCE: Early detection and characterization of increased left ventricular (LV) wall thickness c...

Apr 2022 35195663
Assessment of Disease Status and Treatment Response With Artificial Intelligence-Enhanced Electrocardiography in Obstructive Hypertrophic Cardiomyopathy.

AI analysis of HCM ECGs correlates with longitudinal hemodynamic, cardiac structural and laboratory ...

(1)
Mar 2022 35272798
Heart Murmurs in Children: Evaluation and Management.

Up to 8.6% of infants and 80% of children have a heart murmur during their early years of life. The ...

Mar 2022 35289571
Robot-Assisted Laparoscopic Distal Ureteroureterostomy for Distal Benign Ureteral Strictures with Long-Term Follow-Up.

To demonstrate feasibility of robot-assisted laparoscopic (RAL) ureteroureterostomy (UU) for benign...

Feb 2022 34663087
[Deep Learning-based Risk Prediction Model for Postoperative Healthcare-associated Infections].

Objective To develop a risk prediction model combining pre/intraoperative risk factors and intraoper...

Feb 2022 35300759
Artificial intelligence in the diagnosis and detection of heart failure: the past, present, and future.

Artificial Intelligence (AI) performs human intelligence-dependant tasks using tools such as Machine...

Dec 2021 34957756
A Deep Learning Approach to Predict Blood Pressure from PPG Signals.

Blood Pressure (BP) is one of the four primary vital signs indicating the status of the body's vital...

Nov 2021 34892406
Automatic Onsets and Systolic Peaks Detection and Segmentation of Arterial Blood Pressure Waveforms using Fully Convolutional Neural Networks.

Arterial blood pressure (ABP) waveform is a common physiological signal that contains a wealth of ca...

(2)
Nov 2021 34892409
Corneal Edema Visualization With Optical Coherence Tomography Using Deep Learning: Proof of Concept.

PURPOSE: Optical coherence tomography (OCT) is essential for the diagnosis and follow-up of corneal ...

Oct 2021 33410639
[Early Assessment of Myocardial Fibrosis of Hypertrophic Cardiomyopathy with Native-T1-Mapping-Based Deep Learning: A Preliminary Study].

OBJECTIVE: To explore the diagnostic performance of deep learning (DL) model in early detection of t...

Sep 2021 34622599
Deep learning and the electrocardiogram: review of the current state-of-the-art.

In the recent decade, deep learning, a subset of artificial intelligence and machine learning, has b...

Aug 2021 33564873
Phenomapping Heart Failure with Preserved Ejection Fraction Using Machine Learning Cluster Analysis: Prognostic and Therapeutic Implications.

Heart failure with preserved ejection fraction (HFpEF) is characterized by a high rate of hospitaliz...

(1)
Jul 2021 34051979
Mortality risk stratification using artificial intelligence-augmented electrocardiogram in cardiac intensive care unit patients.

AIMS: An artificial intelligence-augmented electrocardiogram (AI-ECG) algorithm can identify left ve...

Jun 2021 33620440
3D brain glioma segmentation in MRI through integrating multiple densely connected 2D convolutional neural networks.

To overcome the computational burden of processing three-dimensional (3D) medical scans and the lack...

(2)
Jun 2021 34128370
Machine learning and network medicine: a novel approach for precision medicine and personalized therapy in cardiomyopathies.

The early identification of pathogenic mechanisms is essential to predict the incidence and progress...

Jun 2021 32890235
DETECTION OF MORPHOLOGIC PATTERNS OF DIABETIC MACULAR EDEMA USING A DEEP LEARNING APPROACH BASED ON OPTICAL COHERENCE TOMOGRAPHY IMAGES.

PURPOSE: To develop a deep learning (DL) model to detect morphologic patterns of diabetic macular ed...

May 2021 33031250
The Effectiveness of a Deep Learning Model to Detect Left Ventricular Systolic Dysfunction from Electrocardiograms.

Deep learning models can be applied to electrocardiograms (ECGs) to detect left ventricular (LV) dys...

(1)
Jan 2021 34853226
End-stage renal disease at dialysis initiation: Epidemiology and mortality risks during the first year of hemodialysis.

Chronic kidney disease (CKD) treated by hemodialysis (HD) is a worldwide major public health problem...

(2)
Jan 2021 35532711
Smartphone-based diabetic macula edema screening with an offline artificial intelligence.

BACKGROUND: Diabetic macular edema (DME) is a sight-threatening condition that needs regular examina...

(1)
Dec 2020 33210900
Browse Categories