ChatGPT demonstrates substantial potential to enhance clinical decision-making, medical education, and research in cardiovascular medicine, despite challenges regarding inaccuracies and inherent biases.
ChatGPT presents transformative possibilities in cardiovascular medicine for clinical decision-making, education, and research, though significant challenges regarding accuracy, ethics, and privacy remain.
Cardiovascular diseases remain the leading cause of morbidity and mortality globally, posing significant challenges to public health. The rapid evolution of artificial intelligence (AI), particularly with large language models such as ChatGPT, has introduced transformative possibilities in cardiovascular medicine. This review examines ChatGPT's broad applications in enhancing clinical decision-making-covering symptom analysis, risk assessment, and differential diagnosis; advancing medical education for both healthcare professionals and patients; and supporting research and academic communication. Key challenges associated with ChatGPT, including potential inaccuracies, ethical considerations, data privacy concerns, and inherent biases, are discussed. Future directions emphasize improving training data quality, developing specialized models, refining AI technology, and establishing regulatory frameworks to enhance ChatGPT's clinical utility and mitigate associated risks. As cardiovascular medicine embraces AI, ChatGPT stands out as a powerful tool with substantial potential to improve therapeutic outcomes, elevate care quality, and advance research innovation. Fully understanding and harnessing this potential is essential for the future of cardiovascular health.
Léon et al. (2024) conducted a review in Cardiovascular diseases. ChatGPT was evaluated. ChatGPT demonstrates substantial potential to enhance clinical decision-making, medical education, and research in cardiovascular medicine, despite challenges regarding inaccuracies and inherent biases.
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