The study presented by Gaffar et al. explores how artificial intelligence (AI) tools are being used in pediatric cardiology. Researchers reviewed existing literature about the use of AI in pediatric cardiology and noted its increasing importance given the specialty’s heterogeneous data use and focus on primary prevention and health surveillance. They analyzed how current AI tools are being applied in diagnosing, imaging, and clinical decision-making to improve patient outcomes for the pediatric population. It was found that AI could merge diverse sources of information—such as genetics and medical history—to create personalized treatment plans that improve patient health. Additionally, AI has enhanced how cardiac imaging is captured and analyzed, including instances where it has outperformed clinicians in areas such as pulmonary hypertension and accurately identifying normal echocardiograms. Furthermore, wearable devices such as smartwatches can track irregular heartbeats in pediatric patients, allowing for early intervention and reducing the risk of serious complications. The authors emphasize that while AI can support clinical decision-making, it should not replace the clinical judgment and experience of physicians. They also highlight the importance of addressing ethical concerns regarding AI use and encouraging training for future physicians on responsible AI implementation.