Artificial Intelligence Assessment of Biological Age From Transthoracic Echocardiography: Discrepancies with Chronologic Age Predict Significant Excess Mortality.

Kobi FaiersteinMichael FimanRanel LoutatiNoa RubinUri ManorAdiel Am-ShalomMichal Cohen-ShellyNimrod BlankDor LotanQiong ZhaoEhud SchwammenthalRobert KlempfnerEyal ZimlichmanEhud RaananiElad Maor

Published in: Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography (2024)

Applying artificial intelligence to standard transthoracic echocardiography allows the prediction of sex and the estimation of age. Machine-based estimation is an independent predictor of overall survival and, with further evaluation, can be used for risk stratification and estimation of biological age.

Keyphrases

artificial intelligence
deep learning
machine learning
big data
left ventricular
computed tomography
type diabetes
risk factors
coronary artery disease
neural network