Harnessing computational tools of the digital era for enhanced infection control.


Journal

BMC medical informatics and decision making
ISSN: 1472-6947
Titre abrégé: BMC Med Inform Decis Mak
Pays: England
ID NLM: 101088682

Informations de publication

Date de publication:
12 Sep 2024
Historique:
received: 22 05 2024
accepted: 23 08 2024
medline: 13 9 2024
pubmed: 13 9 2024
entrez: 12 9 2024
Statut: epublish

Résumé

This paper explores the potential of artificial intelligence, machine learning, and big data analytics in revolutionizing infection control. It addresses the challenges and innovative approaches in combating infectious diseases and antimicrobial resistance, emphasizing the critical role of interdisciplinary collaboration, ethical data practices, and integration of advanced computational tools in modern healthcare.

Identifiants

pubmed: 39267022
doi: 10.1186/s12911-024-02650-9
pii: 10.1186/s12911-024-02650-9
doi:

Types de publication

Journal Article Editorial

Langues

eng

Sous-ensembles de citation

IM

Pagination

252

Informations de copyright

© 2024. The Author(s).

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Auteurs

Francesco Branda (F)

Unit of Medical Statistics and Molecular Epidemiology, Università Campus Bio-Medico di Roma, Rome, Italy. f.branda@unicampus.it.

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