Opening book details…
Can I read Identifying Heart Failure in ECG Data With Artificial Intelligence—A Meta-Analysis on EtoBox?
Identifying Heart Failure in ECG Data With Artificial Intelligence—A Meta-Analysis by Dimitri Grün; Felix Rudolph; Nils Gumpfer; Jennifer Hannig; Laura K. Elsner; Beatrice von Jeinsen; Christian W. Hamm; Andreas Rieth; Michael Guckert; Till Keller is a Medicine article available to read on EtoBox.
What is Identifying Heart Failure in ECG Data With Artificial Intelligence—A Meta-Analysis about?
Introduction: Electrocardiography (ECG) is a quick and easily accessible method for diagnosis and screening of cardiovascular diseases including heart failure (HF). Artificial intelligence (AI) can be used for semi-automated ECG analysis. The aim of this evaluation was to provide an overview of AI use in HF detection from ECG signals and to perform a meta-analysis of available studies. Methods and Results: An independent comprehensive search of the PubMed and Google Scholar database was conducted for articles dealing with the ability of AI to predict HF based on ECG signals. Only original articles published in peer-reviewed journals were considered. A total of five reports including 57,027 patients and 579,134 ECG datasets were identified including two sets of patient-level data and three with ECG-based datasets. The AI-processed ECG data yielded areas under the receiver operator characteristics curves between 0.92 and 0.99 to identify HF with higher values in ECG-based datasets. Applying a random-effects model, an sROC of 0.987 was calculated. Using the contingency tables led to diagnostic odds ratios ranging from 3.44 [95% confidence interval (CI) = 3.12–3.76] to 13.61 (95% CI =
Who reads Identifying Heart Failure in ECG Data With Artificial Intelligence—A Meta-Analysis?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Dimitri Grün; Felix Rudolph; Nils Gumpfer; Jennifer Hannig; Laura K. Elsner; Beatrice von Jeinsen; Christian W. Hamm; Andreas Rieth; Michael Guckert; Till Keller
- Publisher
- Frontiers Media SA
- Published
- 2021
- Language
- EN
- Field
- Medicine (Health Sciences)