ClinicalTrials.gov
public full text
Public Domain
Early Detection of Concealed Cardiac Amyloidosis Using AI-ECG and CT-Derived Extracellular Volume in Patients With Atrial Fibrillation
This study investigates the clinical efficacy of a non-invasive screening protocol using AI-ECG and CT-ECV analysis for cardiac amyloidosis. The study targets on atrial fibrillation(AF) patients with "red-flag" indicators. Participants are randomized 1:1 into either an early screening or usual care group. * Early screening group : AI- ECG and/or CT-ECV analysis + AF treatment * Usual care group : AF treatment Both groups followed for 2 years to compare CA detection rates and clinical outcomes.
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
- Reimagining atrial fibrillation screening beyond age-based thresholds using AI#216135
- PREdicting Atrial Fibrillation or Flutter#1030592
- Home Monitoring for Atrial Fibrillation Using a Microlife Blood Pressure Monitor#902546
- Full-Avoidance vs. Permissive/Regulated Drinking & Outcomes On Fibrillation#890309
- Reasons for Variations in Health Related Quality of Life and Symptom Burden in Patients With Atrial Fibrillation#886925
Record · ID 878968
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