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Die Highlights vom Kongress des American College of Cardiology 2024

Im April diskutierten die Herz-Kreislauf-Spezialisten aus der ganzen Welt auf dem  Kongress des American College of Cardiology (ACC) u.a. neue Therapieansätze bei akutem Myokardinfarkt, koronarer Herzerkrankung, kardiogenem Schock oder Aortenklappenstenose. In unserem Kongress-Dossier haben wir für Sie Berichte über die „Late-Breaking Trials“ und andere wichtige Studien zusammengestellt. 
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Herzschrittmachertherapie + Elektrophysiologie
Erschienen in: Herzschrittmachertherapie + Elektrophysiologie 1/2022

08.02.2022 | Schwerpunkt

Big Data in electrophysiology

verfasst von: Sotirios Nedios, MD, PhD, Konstantinos Iliodromitis, Christopher Kowalewski, Andreas Bollmann, Gerhard Hindricks, Nikolaos Dagres, Harilaos Bogossian

Erschienen in: Herzschrittmachertherapie + Elektrophysiologie | Ausgabe 1/2022

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Abstract

The quantity of data produced and captured in medicine today is unprecedented. Technological improvements and automation have expanded the traditional statistical methods and enabled the analysis of Big Data. This has permitted the discovery of new associations with a granularity that was previously hidden to human eyes. In the first part of this review, the authors would like to provide an overview of basic Machine Learning (ML) principles and techniques in order to better understand their application in recent publications about cardiac arrhythmias. In the second part, ML-enabled advances in disease detection and diagnosis, outcome prediction, and novel disease characterization in topics like electrocardiography, atrial fibrillation, ventricular arrhythmias, and cardiac devices are presented. Finally, the limitations and challenges of applying ML in clinical practice, such as validation, replication, generalizability, and regulatory issues, are discussed. More carefully designed studies and collaborations are needed for ML to become feasible, trustworthy, accurate, and reproducible and to reach its full potential for patient-oriented precision medicine.
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Metadaten
Titel
Big Data in electrophysiology
verfasst von
Sotirios Nedios, MD, PhD
Konstantinos Iliodromitis
Christopher Kowalewski
Andreas Bollmann
Gerhard Hindricks
Nikolaos Dagres
Harilaos Bogossian
Publikationsdatum
08.02.2022
Verlag
Springer Medizin
Erschienen in
Herzschrittmachertherapie + Elektrophysiologie / Ausgabe 1/2022
Print ISSN: 0938-7412
Elektronische ISSN: 1435-1544
DOI
https://doi.org/10.1007/s00399-022-00837-z

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