Article

Risk Prediction for Non-cardiac Surgery Using the 12-Lead Electrocardiogram: An Explainable Deep Learning Approach

2024-11-20

Abstract excerpt

<h4>Background</h4> To improve on existing noncardiac surgery risk scores, we propose a novel approach which leverages features of the preoperative 12-lead electrocardiogram (ECG) to predict major adverse postoperative outcomes. <h4>Methods</h4> Data acquired in 37,060 adult patients prior to major noncardiac surgery were used to train a series of convolutional neural network models in the task of predicting in-ho...

Topics

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

Identifiers and source

Literature Corpus work: 3b5e24e2-e12c-50d9-a53b-732be7d6c0c7
DOI: 10.1101/2024.11.19.24317577

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Risk Prediction for Non-cardiac Surgery Using the 12-Lead Electrocardiogram: An Explainable Deep Learning ApproachDOI 10.1101/2024.11.19.24317577Read

Predicting adverse outcomes after cardiac surgery using multi-task deep neural networks, clinical features, and electrocardiogramsSemantic proximity Read

Artificial intelligence-enhanced Electrocardiography Score for Perioperative Risk Assessment in Non-cardiac SurgerySemantic 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

Artificial intelligence–enabled electrocardiogram for mortality and cardiovascular risk estimation: An actionable, explainable and biologically plausible platformSemantic proximity Read

Time-Dependent ECG-AI Prediction of Fatal Coronary Heart DiseaseSemantic proximity Read

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

Multitask Artificial Intelligence–Based Electrocardiogram Tool for Preoperative Cardiac Testing in Noncardiac Surgery: Retrospective Cohort Study of Health Care Utilization and CostsSemantic proximity Read

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

Clinically Aligned Explainable AI Improves Myocardial Infarction Detection Using Multi-Lead ElectrocardiographySemantic proximity Read

Deep learning-based ROSC prediction and ECG phenotyping in out-of-hospital cardiac arrest.Semantic proximity Read

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