3 results match your criteria: ""Marie Skolodowska Curie" Emergency Children's Hospital[Affiliation]"

Atrial septal defects (ASDs) present a significant healthcare challenge, demanding accurate and timely diagnosis and precise management to ensure optimal patient outcomes. Artificial intelligence (AI) applications in healthcare are rapidly evolving, offering promise for enhanced medical decision-making and patient care. In the context of cardiology, the integration of AI promises to provide more efficient and accurate diagnosis and personalized treatment strategies for ASD patients.

View Article and Find Full Text PDF

Atrial septal defect (ASD) represents the most common congenital heart defect identified in adulthood. Atrial and ventricular geometric remodeling due to intracardiac shunt increase the risk of arrhythmias, especially atrial fibrillation (AF). Clinical, echocardiography, electrocardiogram, and device-related predictors may be used to assess the risk of atrial arrhythmias after ASD closure.

View Article and Find Full Text PDF
Article Synopsis
  • Cardiac arrhythmias are common in patients with congenital heart disease, especially after corrective surgery, and are influenced by various patient-related factors.
  • The risk is higher in young, low-weight patients, and factors like heart geometry changes, hemodynamic stress, and surgical scars contribute to arrhythmia development.
  • Accurate diagnosis and tailored management are crucial for reducing morbidity and mortality, making it vital to identify risk factors for each patient to improve their life expectancy and quality of life.
View Article and Find Full Text PDF