: 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.

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. - In: JOURNAL OF CARDIOVASCULAR MEDICINE. - ISSN 1558-2027. - 25:11(2024), pp. 766-771. [10.2459/jcm.0000000000001664]

Artificial intelligence in cardiology: a peek at the future and the role of ChatGPT in cardiology practice

Parlati, Antonio Luca Maria;Carluccio, Raffaele;Nardi, Ermanno;Santoro, Ciro;Iervolino, Adelaide;D'Angelo, Federica;Marzano, Federica;Basile, Christian;Gargiulo, Paola;Paolillo, Stefania;Filardi, Pasquale Perrone
2024

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.
2024
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. - In: JOURNAL OF CARDIOVASCULAR MEDICINE. - ISSN 1558-2027. - 25:11(2024), pp. 766-771. [10.2459/jcm.0000000000001664]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/988839
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