ChatGPT for Patients: A Comprehensive Study on Atrial Fibrillation Awareness.

Artificial intelligence ChatGPT atrial fibrillation

Journal

The Journal of innovations in cardiac rhythm management
ISSN: 2156-3977
Titre abrégé: J Innov Card Rhythm Manag
Pays: United States
ID NLM: 101589872

Informations de publication

Date de publication:
Jul 2024
Historique:
received: 15 01 2024
accepted: 14 03 2024
medline: 16 7 2024
pubmed: 16 7 2024
entrez: 16 7 2024
Statut: epublish

Résumé

Due to the intricate nature of atrial fibrillation (AF), the diagnostic process often gives rise to a spectrum of concerns and inquiries. A 20-question survey on AF, covering general concerns, diagnosis, treatment, and post-diagnosis inquiries, was conducted via Google Forms (Google LLC, Mountain View, CA, USA). The questions were input into the Chat Generative Pre-trained Transformer (ChatGPT) system (OpenAI LP, San Francisco, CA, USA) in November 2023, and the responses were meticulously collated within the same Google Forms. The survey, involving 30 experienced physicians, including 22 cardiologists and 8 hospitalists, practicing for an average of 18 years, assessed artificial intelligence (AI)-generated responses to 20 medical queries. Out of 600 evaluations, "excellent" responses were most common (29.50%), followed by "very good" (26%), "good" (19.50%), and "fair" (17.3%). The least common response was "poor" (7.67%). Questions were categorized into "general concerns," "diagnosis-related," "treatment-related," and "post-diagnosis general questions." Across all categories, >50% of experts rated responses as "excellent" or "very good," indicating the potential for improvement in the AI's clinical response methodology. This study highlights the efficacy of ChatGPT as an AF informational resource, with expert-rated responses comparable to those of clinicians. While proficient, concerns include infrequent updates and ethical considerations. Nevertheless, it underscores the growing role of AI in health care information access.

Identifiants

pubmed: 39011463
doi: 10.19102/icrm.2024.15072
pii: icrm.2024.15072
pmc: PMC11238883
doi:

Types de publication

Journal Article

Langues

eng

Pagination

5946-5949

Informations de copyright

Copyright: © 2024 Innovations in Cardiac Rhythm Management.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest for the published content. No funding information was provided.

Auteurs

Rahul Vyas (R)

Department of Internal Medicine, LSU, Shreveport, LA, USA.

Arpita Pawa (A)

Department of Internal Medicine, Willis-Knighton Health System, Shreveport, LA, USA.

Chanza Shaikh (C)

Department of Internal Medicine, LSU, Shreveport, LA, USA.

Anaiya Singh (A)

Department of Internal Medicine, LSU, Shreveport, LA, USA.

Hetvi Shah (H)

R.C.S.M Government Medical College, Kolhapur, Maharashtra, India.

Shubhika Jain (S)

Kasturba Medical College, Manipal, Karnataka, India.

Vijaywant Brar (V)

Department of Cardiology, LSU, Shreveport, LA, USA.

Classifications MeSH