Diseases Commons^™

Potential Mechanisms For New Onset Atrial Fibrillation In Covid-19 Patients, Raghav Gupta, Yara Assadi, Shaniece Nicole Lawrence, Erika Jeanie Pitsker, Michael Scott Bickford Jr., Victoria Amber Saniko

Rowan-Virtua Research Day

Introduction: This study shows the prevalence of New-Onset Atrial Fibrillation in COVID-19 patients and highlights the most prevalent explanatory pathologic theories for the correlation.

Methods: The authors carried out a literature review over PubMed using the keywords “atrial fibrillation” and “long-term COVID.” 48 articles were reviewed. Articles relating to new onset of atrial fibrillation in COVID-19 patients were included while articles posted before 2020, not related to COVID and atrial fibrillation were excluded.

Results: The prevalence of atrial fibrillation in COVID patients is often reported to be around 17%, however 44% of patients within Intensive Care units (ICU) have atrial …

Unveiling The Potential: The Role Of Ai-Enhanced Ecg In Cardiovascular Disease Detection, Alisha Vincent

Rowan-Virtua Research Day

Background: The Electrocardiogram (ECG) is a widely utilized, non-invasive, cost-effective cardiac test. Its integration with Artificial Intelligence (AI) has empowered it to become a potent screening tool and a predictor for various cardiovascular diseases, especially in asymptomatic individuals. Objective: This review investigates the utility of AI-powered ECG in early detection of cardiac conditions, focusing on conditions such as low ejection fraction (LEF), atrial fibrillation (AF), aortic valve stenosis (AVS), and cardiac amyloidosis (CA). Methods: A literature review spanning 2018 to 2024 was conducted, analyzing 10 articles - 3 on AF, 3 on AVS, 3 on LEF, and …