[HTML][HTML] State-of-the-art deep learning methods on electrocardiogram data: systematic review
Background Electrocardiogram (ECG) is one of the most common noninvasive diagnostic
tools that can provide useful information regarding a patient's health status. Deep learning …
tools that can provide useful information regarding a patient's health status. Deep learning …
[HTML][HTML] Artificial intelligence in cardiovascular diseases: diagnostic and therapeutic perspectives
X Sun, Y Yin, Q Yang, T Huo - European Journal of Medical Research, 2023 - Springer
Artificial intelligence (AI), the technique of extracting information from complex database
using sophisticated computer algorithms, has incorporated itself in medical field. AI …
using sophisticated computer algorithms, has incorporated itself in medical field. AI …
Implications of the use of artificial intelligence predictive models in health care settings: a simulation study
Background: Substantial effort has been directed toward demonstrating uses of predictive
models in health care. However, implementation of these models into clinical practice may …
models in health care. However, implementation of these models into clinical practice may …
[HTML][HTML] A foundational vision transformer improves diagnostic performance for electrocardiograms
The electrocardiogram (ECG) is a ubiquitous diagnostic modality. Convolutional neural
networks (CNNs) applied towards ECG analysis require large sample sizes, and transfer …
networks (CNNs) applied towards ECG analysis require large sample sizes, and transfer …
Detection of left ventricular systolic dysfunction from electrocardiographic images
BACKGROUND: Left ventricular (LV) systolic dysfunction is associated with a> 8-fold
increased risk of heart failure and a 2-fold risk of premature death. The use of ECG signals in …
increased risk of heart failure and a 2-fold risk of premature death. The use of ECG signals in …
Heart failure diagnosis in the general community–Who, how and when? A clinical consensus statement of the Heart Failure Association (HFA) of the European Society …
KF Docherty, CSP Lam, A Rakisheva… - European Journal of …, 2023 - Wiley Online Library
A significant proportion of patients experience delays in the diagnosis of heart failure due to
the non‐specific signs and symptoms of the syndrome. Diagnostic tools such as …
the non‐specific signs and symptoms of the syndrome. Diagnostic tools such as …
[HTML][HTML] Successes and challenges of artificial intelligence in cardiology
B Vandenberk, DS Chew, D Prasana, S Gupta… - Frontiers in Digital …, 2023 - frontiersin.org
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 …
processing techniques. New data architectures made analysis of big data feasible …
[HTML][HTML] Artificial intelligence enabled ECG screening for left ventricular systolic dysfunction: a systematic review
LV Bjerkén, SN Rønborg, MT Jensen, SN Ørting… - Heart Failure …, 2023 - Springer
Screening for left ventricular systolic dysfunction (LVSD), defined as reduced left ventricular
ejection fraction (LVEF), deserves renewed interest as the medical treatment for the …
ejection fraction (LVEF), deserves renewed interest as the medical treatment for the …
[HTML][HTML] The use of artificial intelligence for delivery of essential health services across WHO regions: a scoping review
JC Okeibunor, A Jaca, CJ Iwu-Jaja… - Frontiers in Public …, 2023 - frontiersin.org
Background Artificial intelligence (AI) is a broad outlet of computer science aimed at
constructing machines capable of simulating and performing tasks usually done by human …
constructing machines capable of simulating and performing tasks usually done by human …
[HTML][HTML] Artificial intelligence-enabled electrocardiography predicts left ventricular dysfunction and future cardiovascular outcomes: a retrospective analysis
BACKGROUND: The ejection fraction (EF) provides critical information about heart failure
(HF) and its management. Electrocardiography (ECG) is a noninvasive screening tool for …
(HF) and its management. Electrocardiography (ECG) is a noninvasive screening tool for …