Management of atrial fibrillation across the spectrum of heart failure with preserved and reduced ejection fraction

YNV Reddy, BA Borlaug, BJ Gersh - Circulation, 2022 - ahajournals.org
Atrial fibrillation (AF) is the most common arrhythmia among patients with heart failure (HF),
and HF is the most common cause of death for patients presenting with clinical AF. AF is …

CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research

D Kotecha, FW Asselbergs, S Achenbach… - The Lancet Digital …, 2022 - thelancet.com
Big data is important to new developments in global clinical science that aim to improve the
lives of patients. Technological advances have led to the regular use of structured electronic …

Genetic atrial cardiomyopathies: common features, specific differences, and broader relevance to understanding atrial cardiomyopathy

E Marcoux, D Sosnowski, S Ninni… - Circulation …, 2023 - ahajournals.org
Atrial cardiomyopathy is a condition that causes electrical and contractile dysfunction of the
atria, often along with structural and functional changes. Atrial cardiomyopathy most …

Artificial intelligence in cardiology: the debate continues

FW Asselbergs, AG Fraser - European Heart Journal-Digital …, 2021 - academic.oup.com
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 …

Beta‐blocker use and mortality among patients with systolic heart failure and pacemaker rhythm

AS Perry, AP Maggioni, L Tavazzi… - ESC Heart Failure, 2023 - Wiley Online Library
Aims Beta‐blockers are proven to improve survival among patients with heart failure with
reduced ejection fraction. Their efficacy in patients with heart failure with reduced ejection …

Opportunities and challenges of mobile health tools to promote health behaviors

A Sharma, R Avram - Circulation, 2022 - ahajournals.org
Promoting health behaviors at scale is the cornerstone of managing the rising global burden
of noncommunicable diseases such as obesity, diabetes, and cardiovascular disease …

Using machine learning to uncover heterogeneity of beta blocker response in heart failure

GH Tison - Cell Reports Medicine, 2022 - cell.com
Using machine learning to uncover heterogeneity of beta blocker response in heart failure:
Cell Reports Medicine Skip to Main Content Skip to Main Menu Advertisement Cell Reports …