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Artificial intelligence in cardiology: a peek at the future and the role of ChatGPT in cardiology practice.
Madaudo, Cristina; Parlati, Antonio Luca Maria; Di Lisi, Daniela; Carluccio, Raffaele; Sucato, Vincenzo; Vadalà, Giuseppe; Nardi, Ermanno; Macaione, Francesca; Cannata, Antonio; Manzullo, Nilla; Santoro, Ciro; Iervolino, Adelaide; D'Angelo, Federica; Marzano, Federica; Basile, Christian; Gargiulo, Paola; Corrado, Egle; Paolillo, Stefania; Novo, Giuseppina; Galassi, Alfredo Ruggero; Filardi, Pasquale Perrone.
Affiliation
  • Madaudo C; Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, Cardiology Unit, University of Palermo, University Hospital P. Giaccone, Palermo.
  • Parlati ALM; Department of Cardiovascular Sciences, British Heart Foundation Centre of Research Excellence, School of Cardiovascular Medicine, Faculty of Life Sciences and Medicine, King's College London, The James Black Centre, 125 Coldharbour Lane, London, UK.
  • Di Lisi D; Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
  • Carluccio R; Department of Cardiovascular Sciences, British Heart Foundation Centre of Research Excellence, School of Cardiovascular Medicine, Faculty of Life Sciences and Medicine, King's College London, The James Black Centre, 125 Coldharbour Lane, London, UK.
  • Sucato V; Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, Cardiology Unit, University of Palermo, University Hospital P. Giaccone, Palermo.
  • Vadalà G; Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
  • Nardi E; Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, Cardiology Unit, University of Palermo, University Hospital P. Giaccone, Palermo.
  • Macaione F; Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, Cardiology Unit, University of Palermo, University Hospital P. Giaccone, Palermo.
  • Cannata A; Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
  • Manzullo N; Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, Cardiology Unit, University of Palermo, University Hospital P. Giaccone, Palermo.
  • Santoro C; Department of Cardiovascular Sciences, British Heart Foundation Centre of Research Excellence, School of Cardiovascular Medicine, Faculty of Life Sciences and Medicine, King's College London, The James Black Centre, 125 Coldharbour Lane, London, UK.
  • Iervolino A; Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, Cardiology Unit, University of Palermo, University Hospital P. Giaccone, Palermo.
  • D'Angelo F; Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
  • Marzano F; Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy.
  • Basile C; Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, Cardiology Unit, University of Palermo, University Hospital P. Giaccone, Palermo.
  • Gargiulo P; Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
  • Corrado E; Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
  • Paolillo S; Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
  • Novo G; Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, Cardiology Unit, University of Palermo, University Hospital P. Giaccone, Palermo.
  • Galassi AR; Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
  • Filardi PP; Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, Cardiology Unit, University of Palermo, University Hospital P. Giaccone, Palermo.
J Cardiovasc Med (Hagerstown) ; 25(11): 766-771, 2024 Nov 01.
Article in En | MEDLINE | ID: mdl-39347723
ABSTRACT
Artificial intelligence has increasingly become an integral part of our daily activities. ChatGPT, a natural language processing technology developed by OpenAI, is widely used in various industries, including healthcare. The application of ChatGPT in healthcare is still evolving, with studies exploring its potential in clinical decision-making, patient education, workflow optimization, and scientific literature. ChatGPT could be exploited in the medical field to improve patient education and information, thus increasing compliance. ChatGPT could facilitate information exchange on major cardiovascular diseases, provide clinical decision support, and improve patient communication and education. It could assist the clinician in differential diagnosis, suggest appropriate imaging modalities, and optimize treatment plans based on evidence-based guidelines. However, it is unclear whether it will be possible to use ChatGPT for the management of patients who require rapid decisions. Indeed, many drawbacks are associated with the daily use of these technologies in the medical field, such as insufficient expertise in specialized fields and a lack of comprehension of the context in which it works. The pros and cons of its use have been explored in this review, which was not written with the help of ChatGPT.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Cardiology Limits: Humans Language: En Journal: J Cardiovasc Med (Hagerstown) Journal subject: ANGIOLOGIA / CARDIOLOGIA Year: 2024 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Cardiology Limits: Humans Language: En Journal: J Cardiovasc Med (Hagerstown) Journal subject: ANGIOLOGIA / CARDIOLOGIA Year: 2024 Type: Article