Cargando…

Identifying Heart Failure in ECG Data With Artificial Intelligence—A Meta-Analysis

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 u...

Descripción completa

Detalles Bibliográficos
Autores principales:	Grün, Dimitri, Rudolph, Felix, Gumpfer, Nils, Hannig, Jennifer, Elsner, Laura K., von Jeinsen, Beatrice, Hamm, Christian W., Rieth, Andreas, Guckert, Michael, Keller, Till
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Digital Health
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521986/ https://www.ncbi.nlm.nih.gov/pubmed/34713056 http://dx.doi.org/10.3389/fdgth.2020.584555

Ejemplares similares

The Disruption of Trust in the Digital Transformation Leading to Health 4.0
por: Guckert, Michael, et al.
Publicado: (2022)

Artificial Intelligence, Data Sensors and Interconnectivity: Future Opportunities for Heart Failure
por: Bachtiger, Patrik, et al.
Publicado: (2020)

Telemedicine, Artificial Intelligence and Humanisation of Clinical Pathways in Heart Failure Management: Back to the Future and Beyond
por: D’Amario, Domenico, et al.
Publicado: (2020)

Artificial Intelligence for Healthcare in Africa
por: Owoyemi, Ayomide, et al.
Publicado: (2020)

Healthcare Transformation in Singapore With Artificial Intelligence
por: Liu, Siqi, et al.
Publicado: (2020)

Successes and challenges of artificial intelligence in cardiology
por: Vandenberk, Bert, et al.
Publicado: (2023)

Success Factors of Artificial Intelligence Implementation in Healthcare
por: Wolff, Justus, et al.
Publicado: (2021)

Accessing Artificial Intelligence for Clinical Decision-Making
por: Giordano, Chris, et al.
Publicado: (2021)

Editorial: Artificial intelligence for human function and disability
por: Newman-Griffis, Denis R., et al.
Publicado: (2023)

Editorial: Artificial intelligence in point of care diagnostics
por: Martinelli, Massimo, et al.
Publicado: (2023)

Applying Artificial Intelligence Methods for the Estimation of Disease Incidence: The Utility of Language Models
por: Zhang, Yuanzhao, et al.
Publicado: (2020)

Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins?
por: Faes, Livia, et al.
Publicado: (2022)

Scaling up artificial intelligence to curb infectious diseases in Africa
por: Otaigbe, Idemudia
Publicado: (2022)

Nanomedicine Ex Machina: Between Model-Informed Development and Artificial Intelligence
por: Villa Nova, Mônica, et al.
Publicado: (2022)

Commentary: Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins?
por: de Hond, Anne A. H., et al.
Publicado: (2022)

Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging
por: Betzler, Bjorn Kaijun, et al.
Publicado: (2022)

Artificial intelligence in medical referrals triage based on Clinical Prioritization Criteria
por: Abdel-Hafez, Ahmad, et al.
Publicado: (2023)

Impact of Data Transformation: An ECG Heartbeat Classification Approach
por: Liang, Yongbo, et al.
Publicado: (2020)

Detecting Spurious Correlations With Sanity Tests for Artificial Intelligence Guided Radiology Systems
por: Mahmood, Usman, et al.
Publicado: (2021)

COVID-19 in Brazil—Preliminary Analysis of Response Supported by Artificial Intelligence in Municipalities
por: Morales, Hugo M. P., et al.
Publicado: (2021)

Artificial Intelligence Solutions to Increase Medication Adherence in Patients With Non-communicable Diseases
por: Babel, Aditi, et al.
Publicado: (2021)

The Desire of Medical Students to Integrate Artificial Intelligence Into Medical Education: An Opinion Article
por: Frommeyer, Timothy C., et al.
Publicado: (2022)

Acceptance, initial trust formation, and human biases in artificial intelligence: Focus on clinicians
por: Choudhury, Avishek, et al.
Publicado: (2022)

DCTclock: Clinically-Interpretable and Automated Artificial Intelligence Analysis of Drawing Behavior for Capturing Cognition
por: Souillard-Mandar, William, et al.
Publicado: (2021)

Commentary: The desire of medical students to integrate artificial intelligence into medical education: An opinion article
por: Zhong, Jimmy Y., et al.
Publicado: (2023)

Artificial Intelligence in Perioperative Medicine: A Proposed Common Language With Applications to FDA-Approved Devices
por: Melvin, Ryan L., et al.
Publicado: (2022)

ECGAssess: A Python-Based Toolbox to Assess ECG Lead Signal Quality
por: Kramer, Linus, et al.
Publicado: (2022)

Expanding the horizon for breast cancer screening in India through artificial intelligent technologies -A mini-review
por: Bhattacharya, Sudip, et al.
Publicado: (2022)

Perspectives on artificial intelligence in healthcare from a Patient and Public Involvement Panel in Japan: an exploratory study
por: Katirai, Amelia, et al.
Publicado: (2023)

ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure
por: Akbilgic, Oguz, et al.
Publicado: (2021)

Circulating Monocyte Subsets Are Associated With Extent of Myocardial Injury but Not With Type of Myocardial Infarction
por: Askari, Noushin, et al.
Publicado: (2021)

Discovering Composite Lifestyle Biomarkers With Artificial Intelligence From Clinical Studies to Enable Smart eHealth and Digital Therapeutic Services
por: Kyriazakos, Sofoklis, et al.
Publicado: (2021)

Ethical and legal considerations influencing human involvement in the implementation of artificial intelligence in a clinical pathway: A multi-stakeholder perspective
por: Redrup Hill, Elizabeth, et al.
Publicado: (2023)

Using apple watch ECG data for heart rate variability monitoring and stress prediction: A pilot study
por: Velmovitsky, Pedro Elkind, et al.
Publicado: (2022)

Detection of abnormal left ventricular geometry in patients without cardiovascular disease through machine learning: An ECG‐based approach
por: Angelaki, Eleni, et al.
Publicado: (2021)

Native T2 Predicts Myocardial Inflammation Irrespective of a Patient’s Volume Status
por: Wolter, Jan Sebastian, et al.
Publicado: (2023)

Prognostic Power of Pulmonary Arterial Compliance Is Boosted by a Hemodynamic Unloading Test With Glyceryl Trinitrate in Heart Failure Patients With Post-capillary Pulmonary Hypertension
por: Rieth, Andreas J., et al.
Publicado: (2022)

Artificial Intelligence-Enhanced Smartwatch ECG for Heart Failure-Reduced Ejection Fraction Detection by Generating 12-Lead ECG
por: Kwon, Joon-myoung, et al.
Publicado: (2022)

Regional extracellular volume within late gadolinium enhancement-positive myocardium to differentiate cardiac sarcoidosis from myocarditis of other etiology: a cardiovascular magnetic resonance study
por: Treiber, Julia, et al.
Publicado: (2023)

Personalised, Rational, Efficacy-Driven Cancer Drug Dosing via an Artificial Intelligence SystEm (PRECISE): A Protocol for the PRECISE CURATE.AI Pilot Clinical Trial
por: Tan, Benjamin Kye Jyn, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_04dctadonecgt6d3vh4ijnjq48