The potential of artificial intelligence to revolutionize health care delivery, research, and education in cardiac electrophysiology

SM Al-Khatib, JP Singh, H Ghanbari, DD McManus… - Heart rhythm, 2024 - Elsevier
The field of electrophysiology (EP) has benefited from numerous seminal innovations and
discoveries that have enabled clinicians to deliver therapies and interventions that save …

'This time is different': physician knowledge in the age of artificial intelligence

G Dhaliwal - BMJ Quality & Safety, 2024 - qualitysafety.bmj.com
Great diagnosticians are often portrayed as recognising rare diseases that evade the efforts
of mere mortals. This makes for great TV and local legends, but does not reflect daily …

Deep Learning to Identify Undiagnosed AF Using ECGs in Sinus Rhythm—Should We Rewire Our Models?

MS Brahier, JP Piccini - JAMA cardiology, 2023 - jamanetwork.com
Unrecognized, undiagnosed atrial fibrillation (AF) is a longstanding and significant public
health problem. 1 This is especially the case because ischemic stroke is often the first …

[HTML][HTML] Early warning of atrial fibrillation using deep learning

M Gavidia, H Zhu, AN Montanari, J Fuentes, C Cheng… - Patterns, 2024 - cell.com
Atrial fibrillation (AF), the most prevalent cardiac rhythm disorder, significantly increases
hospitalization and health risks. Reverting from AF to sinus rhythm (SR) often requires …

Will ChatGPT Be the Next Nephrologist?

L Maursetter - Clinical Journal of the American Society of …, 2023 - journals.lww.com
The world has shifted from an era of industrial production to the information age, and the
effect of the digital revolution has been felt in every field. While it is difficult to predict the …

Serum Potassium Monitoring using AI-enabled Smart Watch Electrocardiograms

IM Chiu, PJ Wu, H Zhang, JW Hughes, AJ Rogers… - medRxiv, 2024 - medrxiv.org
Background Hyperkalemia poses a significant risk of sudden cardiac death, especially for
those with end-stage renal diseases (ESRD). Smartwatches with ECG capabilities offer a …

Opportunistic Screening of Chronic Liver Disease with Deep Learning Enhanced Echocardiography

Y Sahashi, M Vukadinovic, F Amrollahi, H Trivedi… - medRxiv, 2024 - medrxiv.org
Importance: Chronic liver disease affects more than 1.5 billion adults worldwide, however
the majority of cases are asymptomatic and undiagnosed. Echocardiography is broadly …

基于人工智能的心房颤动筛查与管理的研究进展.

王芳丽, 冯艳 - Journal of Practical Electrocardiology, 2024 - search.ebscohost.com
心房颤动(简称房颤) 是最常见的心律失常之一, 具有隐匿性, 阵发性, 复杂性,
高致死致残率等特点, 且患病率呈上升趋势. 传统的房颤筛查方法具有局限性 …

[HTML][HTML] Deep learning evaluation of echocardiograms to identify occult atrial fibrillation

N Yuan, NR Stein, G Duffy, RK Sandhu, SS Chugh… - npj Digital …, 2024 - nature.com
Atrial fibrillation (AF) often escapes detection, given its frequent paroxysmal and
asymptomatic presentation. Deep learning of transthoracic echocardiograms (TTEs), which …

[HTML][HTML] Consider this a WARNing

SF Friedman, S Khurshid - Patterns, 2024 - cell.com
Atrial fibrillation (AF) prediction can be valuable at many timescales and in many
populations. In this issue of Patterns, Gavidia et al. train a model called WARN for short-term …