Rapid AI-assisted Poincaré plot analysis for early detection of subclinical left ventricular dysfunction in hypertensive patients admitted to the emergency department: A prospective observational study
AI-assisted Poincaré plot analysis enables rapid and non-invasive detection of subclinical LV dysfunction in hypertensive patients in the ED, supporting early risk stratification.
Authors
- Erhan Arıkan (ORCID: https://orcid.org/0000-0002-4800-3206)
- İsa Ardahanlı (ORCID: https://orcid.org/0000-0002-9309-803X)
- Murat Özmen (ORCID: https://orcid.org/0000-0003-4378-0839)
- Faik Özel (ORCID: https://orcid.org/0000-0002-2429-5355)
- Ramazan Aslan
- Ahmet Ardahanlı
Institutions
- Kafkas University (TR)
- Bilecik Şeyh Edebali Üniversitesi (TR)
- Erzurum Technical University (TR)
- Erzurum Regional Training and Research Hospital (TR)
- Sağlık Bilimleri Üniversitesi (TR)
Publication Details
- Journal
- Cardiovascular journal of South Africa/Cardiovascular journal of Southern Africa
- Published
- 2025-10-27
- DOI
- https://doi.org/10.5830/cvja-2025-069
- Primary Topic
- Hemodynamic Monitoring and Therapy
- Type
- article
- Field-Weighted Citation Impact
- 0.00