[Artificial intelligence and internal medicine: The example of hydroxychloroquine according to ChatGPT]

Y Nguyen; N Costedoat-Chalumeau

doi:10.1016/j.revmed.2023.03.017

[Artificial intelligence and internal medicine: The example of hydroxychloroquine according to ChatGPT]

Rev Med Interne. 2023 May;44(5):218-226. doi: 10.1016/j.revmed.2023.03.017. Epub 2023 Apr 14.

[Article in French]

Authors

Y Nguyen¹, N Costedoat-Chalumeau²

Affiliations

¹ Service de médecine interne, hôpital Cochin, AP-HP centre, Université Paris cité, 75014 Paris, France; Centre de recherche en épidémiologie et statistiques (CRESS), unité Inserm 1153, Université de Paris cité, Paris, France. Electronic address: yann.nguyen2@aphp.fr.
² Service de médecine interne, hôpital Cochin, AP-HP centre, Université Paris cité, 75014 Paris, France; Centre de recherche en épidémiologie et statistiques (CRESS), unité Inserm 1153, Université de Paris cité, Paris, France.

PMID: 37062612
DOI: 10.1016/j.revmed.2023.03.017

Abstract

Artificial intelligence (AI) using deep learning is revolutionizing several fields, including medicine, with a wide range of applications. Available since the end of 2022, ChatGPT is a conversational AI or "chatbot", using artificial intelligence to dialogue with its users in all fields. Through the example of hydroxychloroquine (HCQ), we discuss its use for patients, clinicians, or researchers, and discuss its performance and limitations, particularly in relation to algorithmic bias. If AI tools using deep learning do not dispense with the expertise and experience of a clinician (at least, for the moment), they have a potential to improve or simplify our daily practice.

Keywords: Artifical intelligence; ChatGPT; Hydroxychloroquine; Intelligence artificielle; Lupus érythémateux systémique; Systemic lupus erythematosus.

Publication types

English Abstract

MeSH terms

Artificial Intelligence*
Communication
Humans
Hydroxychloroquine* / therapeutic use
Internal Medicine
Software

Substances

Hydroxychloroquine