Large language models represent a transformative leap in artificial intelligence and natural language processing, offering exciting potential across cardiology, from clinical care to education and research. However, several crucial challenges limit the practical implementation of large language models in cardiology. Interdisciplinary research is imperative to overcome these barriers.
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The author is a consultant for GE Healthcare, has investments in Microsoft, and has received research support from the American Society of Nuclear Cardiology and Pfizer.
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Wehbe, R.M. Charting the future of cardiology with large language model artificial intelligence. Nat Rev Cardiol (2024). https://doi.org/10.1038/s41569-024-01105-y
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DOI: https://doi.org/10.1038/s41569-024-01105-y