Introduction: Interdisciplinary consultations are essential to decision-making for patients with congenital heart disease. The integration of artificial intelligence (AI) and natural language processing into medical practice is rapidly accelerating, opening new avenues to diagnosis and treatment. The main objective of this study was to consult the AI-trained model Chat Generative Pre-Trained Transformer (ChatGPT) regarding cases discussed during a cardiovascular surgery conference (CSC) at a single tertiary center and compare the ChatGPT suggestions with CSC expert consensus results.
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