Rationale and design of the artificial intelligence scalable solution for acute myocardial infarction (ASSIST) study.

Tomás Domingo-GardetaJosé M Montero-CabezasAlfonso Jurado-RománManel SabatéJaime AboalAdrián BaranchukXavier CarrilloSebastián García-ZamoraHélder DoresViktor van der ValkRoderick W C ScherptongJoan F Andrés-CordónPablo VidalDaniel Moreno-MartínezRaquel Toribio-FernándezJosé María Lillo-CastellanoRoberto CruzFrançois De GuioManuel Marina-BreysseManuel Martínez-Sellés

Published in: Journal of electrocardiology (2024)

ASSIST will provide key data to optimize Willem™ platform to detect myocardial infarction based on ECG-assessment alone. Our hypothesis is that such a diagnostic approach may reduce time delays, enhance diagnostic accuracy, and improve clinical outcomes.

Keyphrases

artificial intelligence
big data
acute myocardial infarction
machine learning
left ventricular
deep learning
heart failure
percutaneous coronary intervention
heart rate variability
heart rate
atrial fibrillation
data analysis