The Role of ChatGPT in the Advancement of Diagnosis, Management, and Prognosis of Cardiovascular and Cerebrovascular Disease.

cardiovascular disease cerebrovascular disease chatGPT diagnosis language-based models myocardial infarction stroke treatment

Journal

Healthcare (Basel, Switzerland)
ISSN: 2227-9032
Titre abrégé: Healthcare (Basel)
Pays: Switzerland
ID NLM: 101666525

Informations de publication

Date de publication:
06 Nov 2023
Historique:
received: 03 10 2023
revised: 24 10 2023
accepted: 04 11 2023
medline: 14 11 2023
pubmed: 14 11 2023
entrez: 14 11 2023
Statut: epublish

Résumé

Cardiovascular and cerebrovascular disease incidence has risen mainly due to poor control of preventable risk factors and still constitutes a significant financial and health burden worldwide. ChatGPT is an artificial intelligence language-based model developed by OpenAI. Due to the model's unique cognitive capabilities beyond data processing and the production of high-quality text, there has been a surge of research interest concerning its role in the scientific community and contemporary clinical practice. To fully exploit ChatGPT's potential benefits and reduce its possible misuse, extreme caution must be taken to ensure its implications ethically and equitably. In this narrative review, we explore the language model's possible applications and limitations while emphasizing its potential value for diagnosing, managing, and prognosis of cardiovascular and cerebrovascular disease.

Identifiants

pubmed: 37958050
pii: healthcare11212906
doi: 10.3390/healthcare11212906
pmc: PMC10648908
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

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Auteurs

David-Dimitris Chlorogiannis (DD)

Department of Radiology, Brigham and Women's Hospital, Boston, MA 02115, USA.

Anastasios Apostolos (A)

First Department of Cardiology, School of Medicine, National Kapodistrian University of Athens, Hippokrateion General Hospital of Athens, 115 27 Athens, Greece.

Anargyros Chlorogiannis (A)

Department of Health Economics, Policy and Management, Karolinska Institutet, 171 77 Stockholm, Sweden.

Leonidas Palaiodimos (L)

Division of Hospital Medicine, Jacobi Medical Center, NYC H+H, Albert Einstein College of Medicine, New York, NY 10461, USA.

George Giannakoulas (G)

Department of Cardiology, AHEPA University Hospital, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.

Sumant Pargaonkar (S)

Division of Hospital Medicine, Jacobi Medical Center, NYC H+H, Albert Einstein College of Medicine, New York, NY 10461, USA.

Sofia Xesfingi (S)

Department of Economics, University of Piraeus, 185 34 Piraeus, Greece.

Damianos G Kokkinidis (DG)

Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT 06510, USA.

Classifications MeSH