Artificial intelligence age prediction using electrocardiogram data: Exploring biological age differences

Biological age can be predicted using artificial intelligence (AI) trained on electrocardiograms (ECGs), which is prognostic for mortality and cardiovascular events. We developed an AI model to predict age from an ECG and compared baseline characteristics to identify determinants of advanced biologi...

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Veröffentlicht in:	Heart rhythm 2024-09
Hauptverfasser:	Evans, Shaun, Howson, Sarah A., Booth, Andrew E.C., Shahmohamadi, Elnaz, Lim, Matthew, Bacchi, Stephen, Roberts-Thomson, Ross L., Middeldorp, Melissa E., Emami, Mehrdad, Psaltis, Peter J., Sanders, Prashanthan
Format:	Artikel
Sprache:	eng
Schlagworte:	Cardiology Convolutional neural network deep learning Machine learning Prognostication
Online-Zugang:	Volltext
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