BibTex format
@inproceedings{Ruotolo:2024:eurheartj/ehae666.2035,
author = {Ruotolo, I and Saglietto, A and Saturi, G and Sena, G and Ponziani, A and Parisi, V and Ditaranto, R and Zaccaro, A and Casale, M and Schiavo, MA and Longhi, S and Galie', N and Raineri, C and De, Ferrari GM and Biagini, E},
doi = {eurheartj/ehae666.2035},
publisher = {OXFORD UNIV PRESS},
title = {Artificial intelligence (AI)-enhanced electrocardiography: a machine-learning model for differential diagnosis between hypertrophic cardiomyopathy, cardiac amyloidosis and Anderson-Fabry disease},
url = {http://dx.doi.org/10.1093/eurheartj/ehae666.2035},
year = {2024}
}
RIS format (EndNote, RefMan)
TY - CPAPER
AU - Ruotolo,I
AU - Saglietto,A
AU - Saturi,G
AU - Sena,G
AU - Ponziani,A
AU - Parisi,V
AU - Ditaranto,R
AU - Zaccaro,A
AU - Casale,M
AU - Schiavo,MA
AU - Longhi,S
AU - Galie',N
AU - Raineri,C
AU - De,Ferrari GM
AU - Biagini,E
DO - eurheartj/ehae666.2035
PB - OXFORD UNIV PRESS
PY - 2024///
SN - 0195-668X
TI - Artificial intelligence (AI)-enhanced electrocardiography: a machine-learning model for differential diagnosis between hypertrophic cardiomyopathy, cardiac amyloidosis and Anderson-Fabry disease
UR - http://dx.doi.org/10.1093/eurheartj/ehae666.2035
ER -