ClinicalTrials.gov
public full text
Public Domain
Electrocardiogram-based Artificial Intelligence-assisted Detection of Heart Disease
Atrial fibrillation is an abnormal beating of the heart that can lead to stroke or heart failure. Structural heart diseases are conditions that affect the heart valves or heart muscle and can cause permanent heart damage if left untreated. Sometimes people have atrial fibrillation or structural heart disease and do not know it. The purpose of this study is to evaluate two devices that can predict who has or may develop atrial fibrillation or structural heart disease based on the results of an electrocardiogram.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Observational Study of Sinus Rhythm Mapping in Pulmonary Vein Isolation Naive Patients With Atrial Fibrillation#891977
- Determination of the Prevalence and Prognostic Importance of Unrecognized Non-Q-wave Myocardial Infarction by MRI#901906
- Artificial intelligence-enhanced electrocardiography models for the diagnosis and prediction of future regurgitant valvular heart diseases: an international multi-center study#248575
- ConfirmRxTM: Posture and Activity#808091
- Atrial Fibrillation Screening With MobiCARE in Subjects With Health Care Examination#1128230
Record · ID 836613
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive