[Artificial intelligence: An introduction for clinicians].

Intelligence artificielle : une introduction pour les cliniciens.
Apprentissage machine Apprentissage profond Data science Innovation Medical informatics Science des données Statistics Statistique

Journal

Revue des maladies respiratoires
ISSN: 1776-2588
Titre abrégé: Rev Mal Respir
Pays: France
ID NLM: 8408032

Informations de publication

Date de publication:
Apr 2023
Historique:
received: 20 12 2022
accepted: 15 02 2023
medline: 7 4 2023
pubmed: 10 3 2023
entrez: 9 3 2023
Statut: ppublish

Résumé

Artificial intelligence (AI) is a growing field that has the potential to transform many areas of society, including healthcare. For a physician, it is important to understand the basics of AI and its potential applications in medicine. AI refers to the development of computer systems capable of performing tasks that typically require human intelligence, such as pattern recognition, learning from data, and decision-making. This technology can be used to analyze large amounts of patient data and to identify trends and patterns that can be difficult for human physicians to detect. This can help doctors to manage their workload more efficiently and provide better care for their patients. All in all, AI has the potential to dramatically improve the practice of medicine and improve patient outcomes. In this work, the definition and the key principles of AI are outlined, with particular focus on the field of machine learning, which has been undergoing considerable development in medicine, providing clinicians with in-depth understanding of the principles underlying the new technologies ensuring improved health care.

Identifiants

pubmed: 36894376
pii: S0761-8425(23)00090-6
doi: 10.1016/j.rmr.2023.02.005
pii:
doi:

Types de publication

English Abstract Journal Article Review

Langues

fre

Sous-ensembles de citation

IM

Pagination

308-313

Informations de copyright

Copyright © 2023 SPLF. Published by Elsevier Masson SAS. All rights reserved.

Auteurs

G Briganti (G)

Chaire d'intelligence artificielle et médecine digitale, service de neurosciences, faculté de médecine, université de Mons, avenue du Champs de Mars, 6, 7000 Mons, Belgique. Electronic address: giovanni.briganti@hotmail.com.

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Classifications MeSH