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

Faierstein, K., Fiman, M., Loutati, R., Rubin, N., Manor, U., Am-Shalom, A., Cohen-Shelly, M., Blank, N., Lotan, D., Zhao, Q., Schwammenthal, E., Klempfner, R., Zimlichman, E., Raanani, E., & Maor, E. (2024). Artificial Intelligence Assessment of Biological Age From Transthoracic Echocardiography: Discrepancies with Chronologic Age Predict Significant Excess Mortality. Journal of the American Society of Echocardiography, 37(8), 725–735. https://doi.org/10.1016/j.echo.2024.04.017
Authors:
Kobi Faierstein
Michael Fiman
Ranel Loutati
Noa Rubin
Uri Manor
Adiel Am-Shalom
Michal Cohen-Shelly
Nimrod Blank
Dor Lotan
Qiong Zhao
Ehud Schwammenthal
Robert Klempfner
Eyal Zimlichman
Ehud Raanani
Elad Maor
Affiliated Authors:
Dor Lotan
Subjects:
Author Keywords:
echocardiography
point-of-care ultrasound
artificial intelligence
longevity
Publication Type:
Article
Unique ID:
10.1016/j.echo.2024.04.017
PMID:
Publication Date:
Data Source:
PubMed

Record Created: