Identify the current applications of artificial intelligence in diagnosing CHD, including automated echocardiogram analysis and cardiac imaging interpretation. Analyze the benefits and limitations of AI-powered decision support systems in pediatric cardiology practice. Recognize future opportunities for AI advancement in improving outcomes for patients.

Join Heart University and the PCEMCC for the exciting next installment in our journal club series! We will review recent noteworthy research studies in the field of pediatric exercise cardiology, cardiopulmonary exercise testing, and exercise therapeutics.

This is a case-based learning series with the objectives to increase exposure to unique clinical scenarios and their management in a variety of resource settings, and to foster interaction between physicians across these different settings. This live, interactive learning series will take place every 1-2 months, focusing on a different topic each session.