In the past decades there has been a substantial evolution in data management and data
processing techniques. New data architectures made analysis of big data feasible …

The present article reviews the state of the art of machine learning algorithms for the
detection, prediction, and management of atrial fibrillation (AF), as well as of the …

Methods: This systematic review utilized data compiled from three key scientific databases:
PubMed (2045 publications), Scopus (877 publications), and Web of Science (2495 …

Abstract In 1955, when John McCarthy and his colleagues proposed their first study of
artificial intelligence, they suggested that 'every aspect of learning or any other feature of …

Compared with face-to-face consultations, telemedicine has many advantages, including
more efficient use of healthcare resources, partial relief of the burden of care, reduced …

Objective To investigate the association of corrected QT (QTc) interval duration and short-
term outcomes in patients with acute heart failure (AHF). Methods We analyzed AHF patients …

Objectives To analyze whether the high levels of air pollutants are related to a greater
severity of decompensated heart failure (HF). Method Patients diagnosed with …

Objetivos Analizar si la exposición a contaminantes del aire en 2 grandes ciudades
españolas está relacionada con la gravedad de las descompensaciones de la insuficiencia …

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Cardiology has become data driven for improved patient centered experiences and
outcomes [1]. Evidence based medicine, as defined as the integration of research evidence …