Article

GenECG: A synthetic image-based ECG dataset to augment artificial intelligence-enhanced algorithm development

2023-12-29

Abstract excerpt

<h4>Background</h4> Artificial intelligence-enhanced electrocardiogram (AI-ECG) algorithms have primarily been developed using digitised signal data, due to a relative absence of image-based datasets. An image-based ECG dataset incorporating artefacts common to paper-based ECGs, which are typically scanned or photographed into electronic health records, could facilitate clinically useful AI-ECG algorithm developme...

Topics

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

Identifiers and source

Literature Corpus work: 33e729ec-3e0b-55ce-b57c-e82c1e5f7fc8
DOI: 10.1101/2023.12.27.23300581

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

GenECG: A synthetic image-based ECG dataset to augment artificial intelligence-enhanced algorithm developmentDOI 10.1101/2023.12.27.23300581Read

Art or Artifact: Evaluating the Accuracy, Appeal, and Educational Value of AI-Generated Imagery in DALL·E 3 for Illustrating Congenital Heart DiseasesSemantic proximity Read

Automated Multilabel Diagnosis on Electrocardiographic Images and SignalsSemantic proximity Read

Artificial Intelligence-Based Automated Interpretation of Images of Electrocardiograms: Development and Multinational Validation of ECG-GPTSemantic proximity Read

Unveiling AI-ECG using Generative Counterfactual XAI FrameworkSemantic proximity Read

Anatomical Accuracy of Generative AI for Congenital Heart Disease Illustrations: Gemini NanoBanana Versus ChatGPT Models in a Blinded Comparative StudySemantic proximity Read

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

Turing Test Inspired Method for Analysis of Biases Prevalent in Artificial Intelligence-Based Medical ImagingSemantic proximity Read

A Comparative Study of Predictive model (ECG Buddy) and ChatGPT-4o for Myocardial Infarction Diagnosis via ECG image Analysis: Performance, Accuracy, and Clinical FeasibilitySemantic proximity Read

Test-Retest Reliability of Artificial Intelligence-Enhanced Electrocardiography: A Multi-Center StudySemantic proximity Read

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

AI-generated data contamination erodes pathological variability and diagnostic reliabilitySemantic proximity Read

Artificial Intelligence-based Automated Echocardiographic Analysis and the Workflow of Sonographers: A randomized crossover trialSemantic proximity Read