A review on atrial fibrillation detection from ambulatory ECG

C Ma, Z Xiao, L Zhao, S Biton, JA Behar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Atrial fibrillation (AF) is a prevalent clinical arrhythmia disease and is an important cause of
stroke, heart failure, and sudden death. Due to the insidious onset and no obvious clinical …

Atrial cardiomyopathy revisited—evolution of a concept: a clinical consensus statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart …

A Goette, D Corradi, D Dobrev, L Aguinaga… - Europace, 2024 - academic.oup.com
Aims The concept of “atrial cardiomyopathy”(AtCM) had been percolating through the
literature since its first mention in 1972. Since then, publications using the term were …

[HTML][HTML] Artificial intelligence-based clinical decision support systems in cardiovascular diseases

S Bozyel, E Şimşek, D Koçyiğit, A Güler… - Anatolian Journal of …, 2024 - ncbi.nlm.nih.gov
Despite all the advancements in science, medical knowledge, healthcare, and the
healthcare industry, cardiovascular disease (CVD) remains the leading cause of morbidity …

Artificial intelligence in cardiovascular medicine: clinical applications

TF Lüscher, FA Wenzl, F D'Ascenzo… - European Heart …, 2024 - academic.oup.com
Clinical medicine requires the integration of various forms of patient data including
demographics, symptom characteristics, electrocardiogram findings, laboratory values …

Detecting paroxysmal atrial fibrillation from an electrocardiogram in sinus rhythm: external validation of the AI approach

H Gruwez, M Barthels, P Haemers, FH Verbrugge… - Clinical …, 2023 - jacc.org
Background Atrial fibrillation (AF) may occur asymptomatically and can be diagnosed only
with electrocardiography (ECG) while the arrhythmia is present. Objectives The aim of this …

Realtime Diagnosis from Electrocardiogram Artificial Intelligence-Guided Screening for Atrial Fibrillation with Long Follow-Up (REGAL): Rationale and design of a …

X Yao, ZI Attia, EM Behnken, MS Hart, SA Inselman… - American heart …, 2024 - Elsevier
Background Atrial fibrillation (AF) is associated with increased risks of stroke and dementia.
Early diagnosis and treatment could reduce the disease burden, but AF is often …

Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification

L Lu, T Zhu, AH Ribeiro, L Clifton, E Zhao… - … Heart Journal-Digital …, 2024 - academic.oup.com
Aims Electrocardiogram (ECG) is widely considered the primary test for evaluating
cardiovascular diseases. However, the use of artificial intelligence (AI) to advance these …

Employing Artificial Intelligence Methods in Drug Development: A New Era in Medicine

OJ Unogwu, M Ike, OO Joktan - … Journal of Artificial …, 2023 - journals.mesopotamian.press
Artificial intelligence (AI) plays a vital role in the development of pharmaceuticals. The whole
drug development process, from target identification and lead optimization to clinical trials …

Clinical applicability of an artificial intelligence prediction algorithm for early prediction of non-persistent atrial fibrillation

Y Kim, G Joo, BK Jeon, DH Kim, TY Shin… - Frontiers in …, 2023 - frontiersin.org
Background and aims It is difficult to document atrial fibrillation (AF) on ECG in patients with
non-persistent atrial fibrillation (non-PeAF). There is limited understanding of whether an AI …

Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)

M Salvi, MR Acharya, S Seoni, O Faust… - … : Data Mining and …, 2024 - Wiley Online Library
Atrial fibrillation (AF) affects more than 30 million individuals worldwide, making it the most
prevalent cardiac arrhythmia on a global scale. This systematic review summarizes recent …