Frontiers

Virtual reality-induced emotion recognition with deep learning-based multimodal physiological feature fusion

Recognizing emotions objectively and accurately remains challenging because of the limited ecological validity, informational incompleteness, and constrained model performance of conventional ...
GitHub

ECGTwinMentor simulates a digital twin of an ECG diagnostic system. Users can input or generate ECG parameters, choose a diagnosis they believe is correct, and compare it with ...

Version 1.0.0 consolidates the architecture, machine learning model, and multiplatform deployment strategy for educational and predictive use of ECG data. ECGTwinMentor simulates a digital twin of an ...
BMJ

Understanding and interpreting artificial intelligence, machine learning and deep learning in Emergency Medicine

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be ...
ahajournals.org

ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation

Artificial intelligence (AI)–enabled analysis of 12-lead ECGs may facilitate efficient estimation of incident atrial fibrillation (AF) risk. However, it remains unclear whether AI provides meaningful ...
PNAS

Prediction of arrhythmia susceptibility through mathematical modeling and machine learning

Despite our understanding of the many factors that promote ventricular arrhythmias, it remains difficult to predict which specific individuals within a population will be especially susceptible to ...