Article

XplainScar: Explainable Artificial Intelligence to Identify and Localize Left Ventricular Scar in Hypertrophic Cardiomyopathy from 12-lead Electrocardiogram

2024-05-23

Abstract excerpt

Left ventricular (LV) scar is a risk factor for sudden cardiac death and heart failure in hypertrophic cardiomyopathy (HCM). LV scar is frequent in HCM and evolves over time. Hence there is a need for LV scar detection and longitudinal monitoring. The current gold standard for LV scar detection is late gadolinium enhancement (LGE) on magnetic resonance imaging (MRI), which is limited by high cost and susceptibilit...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 90342ced-4e8a-50e3-9f2c-1aa3da89969d
DOI: 10.1101/2024.05.22.24307764

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

XplainScar: Explainable Artificial Intelligence to Identify and Localize Left Ventricular Scar in Hypertrophic Cardiomyopathy from 12-lead ElectrocardiogramDOI 10.1101/2024.05.22.24307764Read

ECG-SENNsation: Trustworthy 12-Lead ECG Classification by Self-Explaining Neural Networks for Clinical Decision Support and Knowledge DiscoverySemantic proximity Read

Foundation models for generalizable electrocardiogram interpretation: comparison of supervised and self-supervised electrocardiogram foundation modelsSemantic proximity Read

A foundation transformer model with self-supervised learning for ECG-based assessment of cardiac and coronary functionSemantic proximity Read

Robust Myocardium Detection and Scar Severity Classification in LGE-CMR Using ScarYOLO and Contrastive LearningSemantic proximity Read

Advances in Interpretation of Electrocardiogram by Artificial IntelligenceSemantic proximity Read

Ensemble Post-hoc Explainable AI for Multilead ECG: Identifying Disease-Relevant Features in Single-Lead InterpretationsSemantic proximity Read

Artificial intelligence-based ECG reconstruction error as a continuous predictor of all-cause mortality: a multi-cohort retrospective validation studySemantic proximity Read

Deep learning enables diagnosis of atrial cardiomyopathy from routine 12-lead electrocardiogramSemantic proximity Read

Electrocardiogram-Based Deep Learning for Time-Resolved Prediction of Heart Failure With Reduced Ejection Fraction: A Multinational StudySemantic proximity Read

Prospective Validation of a Deep Learning Model to Detect Structural Heart Disease from Apple Watch ECGs: The WATCH-SHD StudySemantic proximity Read

Assessing the Impact of Downsampled ECGs and Alternative Loss Functions in Multi-Label Classification of 12-Lead ECGsSemantic proximity Read

Heart Block Identification from 12-Lead ECG: Exploring the Generalizability of Self-Supervised AISemantic proximity Read