AIMC Topic: Long QT Syndrome

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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
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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 Child Neural Networks, Computer Electrocardiography Female Young Adult Male Middle Aged Adult Sensitivity and Specificity Humans
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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
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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
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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
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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
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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 Male Middle Aged Electrocardiography Machine Learning Humans Risk Assessment Female Electronic Health Records Deep Learning Aged Long QT Syndrome
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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 Area Under Curve Long QT Syndrome Smartphone Electrocardiography Aged Adult Prospective Studies Sensitivity and Specificity Humans Female Heart Diseases SARS-CoV-2 Artificial Intelligence Heart Rate COVID-19
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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 Female Adult Artificial Intelligence Hydroxychloroquine Humans Male Long QT Syndrome Pandemics Arrhythmias, Cardiac COVID-19 Drug Treatment
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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 Diagnosis, Differential Cardiomyopathy, Hypertrophic Humans Tropomyosin Signal Processing, Computer-Assisted Machine Learning Algorithms
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