{"title":"用大语言模型人工智能描绘心脏病学的未来","authors":"Ramsey M. Wehbe","doi":"10.1038/s41569-024-01105-y","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":18976,"journal":{"name":"Nature Reviews Cardiology","volume":"22 1","pages":""},"PeriodicalIF":41.7000,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Charting the future of cardiology with large language model artificial intelligence\",\"authors\":\"Ramsey M. Wehbe\",\"doi\":\"10.1038/s41569-024-01105-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":18976,\"journal\":{\"name\":\"Nature Reviews Cardiology\",\"volume\":\"22 1\",\"pages\":\"\"},\"PeriodicalIF\":41.7000,\"publicationDate\":\"2024-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Reviews Cardiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41569-024-01105-y\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Reviews Cardiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41569-024-01105-y","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Charting the future of cardiology with large language model artificial intelligence
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.
期刊介绍：
Nature Reviews Cardiology aims to be the go-to source for reviews and commentaries in the scientific and clinical communities it serves. Focused on providing authoritative and accessible articles enriched with clear figures and tables, the journal strives to offer unparalleled service to authors, referees, and readers, maximizing the usefulness and impact of each publication. It covers a broad range of content types, including Research Highlights, Comments, News & Views, Reviews, Consensus Statements, and Perspectives, catering to practising cardiologists and cardiovascular research scientists. Authored by renowned clinicians, academics, and researchers, the content targets readers in the biological and medical sciences, ensuring accessibility across various disciplines. In-depth Reviews offer up-to-date information, while Consensus Statements provide evidence-based recommendations. Perspectives and News & Views present topical discussions and opinions, and the Research Highlights section filters primary research from cardiovascular and general medical journals. As part of the Nature Reviews portfolio, Nature Reviews Cardiology maintains high standards and a wide reach.
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