Marco Bernardi, Luigi Spadafora, Laura Adelaide Dalla Vecchia, Roberto Franco Enrico Pedretti, Sabrina Cenciarelli, Giuseppe Biondi Zoccai, Francesco Versaci
{"title":"[Artificial intelligence in cardiology: the new HAL 9000?]","authors":"Marco Bernardi, Luigi Spadafora, Laura Adelaide Dalla Vecchia, Roberto Franco Enrico Pedretti, Sabrina Cenciarelli, Giuseppe Biondi Zoccai, Francesco Versaci","doi":"10.1714/4650.46644","DOIUrl":null,"url":null,"abstract":"<p><p>Artificial intelligence (AI) is rapidly transforming the world, and medicine is at the forefront of this revolution. In cardiology, AI is increasingly providing innovative tools for diagnosis, risk stratification, interventional planning, and personalized care. From automated interpretation of ECGs and cardiovascular imaging to integration into interventional workflows and predictive models, AI is emerging as a powerful ally for both clinicians and researchers. However, its implementation also raises critical ethical, legal, and regulatory challenges that require transparency, independent validation, and multidisciplinary governance. This review explores the potential and limitations of AI in cardiovascular medicine, with a focus on emerging technologies, their clinical implications, and the growing role of generative tools such as ChatGPT in scientific research. Much like HAL 9000, AI can enhance human capabilities - but only under vigilant oversight to prevent uncontrolled drifts. The future of cardiology will undoubtedly be more digital, but must remain fundamentally human.</p>","PeriodicalId":12510,"journal":{"name":"Giornale italiano di cardiologia","volume":"27 3","pages":"159-167"},"PeriodicalIF":1.5000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Giornale italiano di cardiologia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1714/4650.46644","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence (AI) is rapidly transforming the world, and medicine is at the forefront of this revolution. In cardiology, AI is increasingly providing innovative tools for diagnosis, risk stratification, interventional planning, and personalized care. From automated interpretation of ECGs and cardiovascular imaging to integration into interventional workflows and predictive models, AI is emerging as a powerful ally for both clinicians and researchers. However, its implementation also raises critical ethical, legal, and regulatory challenges that require transparency, independent validation, and multidisciplinary governance. This review explores the potential and limitations of AI in cardiovascular medicine, with a focus on emerging technologies, their clinical implications, and the growing role of generative tools such as ChatGPT in scientific research. Much like HAL 9000, AI can enhance human capabilities - but only under vigilant oversight to prevent uncontrolled drifts. The future of cardiology will undoubtedly be more digital, but must remain fundamentally human.