Artificial intelligence in paediatrics: Current events and challenges.
7P medicine
Aprendizaje máquina
Artificial intelligence
Inteligencia artificial
Machine learning
Medicina de las 7P
Medicina personalizada
Paediatrics
Pediatría
Personalized medicine
Journal
Anales de pediatria
ISSN: 2341-2879
Titre abrégé: An Pediatr (Engl Ed)
Pays: Spain
ID NLM: 101765626
Informations de publication
Date de publication:
08 Mar 2024
08 Mar 2024
Historique:
received:
08
01
2024
accepted:
05
02
2024
medline:
10
3
2024
pubmed:
10
3
2024
entrez:
9
3
2024
Statut:
aheadofprint
Résumé
This article examines the use of artificial intelligence (AI) in the field of paediatric care within the framework of the 7P medicine model (Predictive, Preventive, Personalized, Precise, Participatory, Peripheral and Polyprofessional). It highlights various applications of AI in the diagnosis, treatment and management of paediatric diseases as well as the role of AI in prevention and in the efficient management of health care resources and the resulting impact on the sustainability of public health systems. Successful cases of the application of AI in the paediatric care setting are presented, placing emphasis on the need to move towards a 7P health care model. Artificial intelligence is revolutionizing society at large and has a great potential for significantly improving paediatric care.
Identifiants
pubmed: 38461129
pii: S2341-2879(24)00038-3
doi: 10.1016/j.anpede.2024.02.009
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2024. Published by Elsevier España, S.L.U.