March 22, 2024Open Access

Identifying patients with acute aortic dissection using an electrocardiogram with convolutional neural network

Puntos clave

Los puntos clave no están disponibles para este artículo en este momento.

Resumen

The potential of utilizing artificial intelligence with electrocardiography (ECG) for initial screening of aortic dissection (AD) is promising. However, achieving a high positive predictive rate (PPR) remains challenging.

Leer artículo completoexternamente

Me gusta

Guardar

Ver artículo completo

Cite This Study

Arita et al. (Fri,) studied this question.

synapsesocial.com/papers/68e72bb1b6db6435876a5ece https://doi.org/https://doi.org/10.1016/j.ijcha.2024.101389

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1External validation of a deep learning electrocardiogram algorithm to detect ventricular dysfunction2021 · 80 citations
2A Deep-Learning Algorithm-Enhanced System Integrating Electrocardiograms and Chest X-rays for Diagnosing Aortic Dissection2021 · 46 citations
3Machine learning for brain age prediction: Introduction to methods and clinical applications2021 · 271 citations
4Prediction of biological age and all-cause mortality by 12-lead electrocardiogram in patients without structural heart disease2021 · 35 citations
5Receiver Operating Characteristic Studies and Measurement Errors1997 · 114 citations

Me gusta

Guardar

Ver artículo completo