AIMC Topic: Long QT Syndrome

Clear Filters Showing 1 to 10 of 21 articles

Electrocardiographic Discrimination of Long QT Syndrome Genotypes: A Comparative Analysis and Machine Learning Approach.

Sensors (Basel, Switzerland) Apr 2, 2025
Long QT syndrome (LQTS) presents a group of inheritable channelopathies with prolonged ventricular repolarization, leading to syncope, ventricular tachycardia, and sudden death. Differentiating LQTS genotypes is crucial for targeted management and tr...
Humans Machine Learning Genotype Electrocardiography Support Vector Machine Long QT Syndrome Female Adult Male
View on PubMed DOI

Deep Neural Network Analysis of the 12-Lead Electrocardiogram Distinguishes Patients With Congenital Long QT Syndrome From Patients With Acquired QT Prolongation.

Mayo Clinic proceedings Jan 11, 2025
OBJECTIVE: To test whether an artificial intelligence (AI) deep neural network (DNN)-derived analysis of the 12-lead electrocardiogram (ECG) can distinguish patients with long QT syndrome (LQTS) from those with acquired QT prolongation.
Diagnosis, Differential Long QT Syndrome Adolescent Neural Networks, Computer Child Electrocardiography Female Humans Young Adult Male Middle Aged Adult Sensitivity and Specificity
View on PubMed DOI

QTNet: Predicting Drug-Induced QT Prolongation With Artificial Intelligence-Enabled Electrocardiograms.

JACC. Clinical electrophysiology May 1, 2024
BACKGROUND: Prediction of drug-induced long QT syndrome (diLQTS) is of critical importance given its association with torsades de pointes. There is no reliable method for the outpatient prediction of diLQTS.
Artificial Intelligence Female Risk Factors Aged Humans Neural Networks, Computer Electrocardiography Long QT Syndrome Adult Male Middle Aged
View on PubMed DOI

Prediction of Kv11.1 potassium channel PAS-domain variants trafficking via machine learning.

Journal of molecular and cellular cardiology May 13, 2023
Congenital long QT syndrome (LQTS) is characterized by a prolonged QT-interval on an electrocardiogram (ECG). An abnormal prolongation in the QT-interval increases the risk for fatal arrhythmias. Genetic variants in several different cardiac ion chan...
Phenotype Long QT Syndrome Mutation, Missense Humans Machine Learning KCNQ1 Potassium Channel
View on PubMed DOI

Machine Learning Techniques Outperform Conventional Statistical Methods in the Prediction of High Risk QTc Prolongation Related to a Drug-Drug Interaction.

Journal of medical systems Nov 23, 2022
In clinical practice, many drug therapies are associated with prolongation of the QT interval. In literature, estimation of the risk of prescribing drug-induced QT prolongation is mainly executed by means of logistic regression; only one paper report...
Heart Rate Humans Machine Learning Algorithms Drug Interactions Long QT Syndrome Female Male
View on PubMed DOI

A deep learning approach identifies new ECG features in congenital long QT syndrome.

BMC medicine May 3, 2022
BACKGROUND: Congenital long QT syndrome (LQTS) is a rare heart disease caused by various underlying mutations. Most general cardiologists do not routinely see patients with congenital LQTS and may not always recognize the accompanying ECG features. I...
Deep Learning Electrocardiography Long QT Syndrome Humans Neural Networks, Computer Artificial Intelligence
View on PubMed DOI

Prediction of Drug-Induced Long QT Syndrome Using Machine Learning Applied to Harmonized Electronic Health Record Data.

Journal of cardiovascular pharmacology and therapeutics Mar 8, 2021
BACKGROUND: Drug-induced QT prolongation is a potentially preventable cause of morbidity and mortality, however there are no widespread clinical tools utilized to predict which individuals are at greatest risk. Machine learning (ML) algorithms may pr...
Adult Machine Learning Male Humans Electronic Health Records Female Middle Aged Risk Assessment Electrocardiography Aged Deep Learning Long QT Syndrome
View on PubMed DOI

Artificial Intelligence-Enabled Assessment of the Heart Rate Corrected QT Interval Using a Mobile Electrocardiogram Device.

Circulation Feb 1, 2021
BACKGROUND: Heart rate-corrected QT interval (QTc) prolongation, whether secondary to drugs, genetics including congenital long QT syndrome, and/or systemic diseases including SARS-CoV-2-mediated coronavirus disease 2019 (COVID-19), can predispose to...
Male Middle Aged ROC Curve Aged Humans Adult Area Under Curve Heart Diseases Long QT Syndrome Artificial Intelligence Heart Rate Sensitivity and Specificity COVID-19 Smartphone Prospective Studies Electrocardiography Female SARS-CoV-2
View on PubMed DOI

Smartwatch Electrocardiogram and Artificial Intelligence for Assessing Cardiac-Rhythm Safety of Drug Therapy in the COVID-19 Pandemic. The QT-logs study.

International journal of cardiology Jan 29, 2021
BACKGROUND: QTc interval monitoring, for the prevention of drug-induced arrhythmias is necessary, especially in the context of coronavirus disease 2019 (COVID-19). For the provision of widespread use, surrogates for 12‑lead ECG QTc assessment may be ...
Middle Aged Electrocardiography Azithromycin Artificial Intelligence Female Hydroxychloroquine Long QT Syndrome Humans Adult Pandemics Arrhythmias, Cardiac Male COVID-19 Drug Treatment
View on PubMed DOI

Separation of HCM and LQT Cardiac Diseases with Machine Learning of Ca2+ Transient Profiles.

Methods of information in medicine Feb 20, 2020
BACKGROUND:  Modeling human cardiac diseases with induced pluripotent stem cells not only enables to study disease pathophysiology and develop therapies but also, as we have previously showed, it can offer a tool for disease diagnostics. We previousl...
Long QT Syndrome Carrier Proteins Calcium Tropomyosin Humans Diagnosis, Differential Cardiomyopathy, Hypertrophic Machine Learning Signal Processing, Computer-Assisted Algorithms
View on PubMed DOI
Popular Topics
Recent Journals