Artificial intelligence in bronchopulmonary dysplasia- current research and unexplored frontiers.
Journal
Pediatric research
ISSN: 1530-0447
Titre abrégé: Pediatr Res
Pays: United States
ID NLM: 0100714
Informations de publication
Date de publication:
01 2023
01 2023
Historique:
received:
15
04
2022
accepted:
30
10
2022
revised:
21
10
2022
pubmed:
18
11
2022
medline:
25
2
2023
entrez:
17
11
2022
Statut:
ppublish
Résumé
Provide an overview of bronchopulmonary dysplasia, its definitions, and their shortcomings. Explore the areas where machine learning may be used to further our understanding of bronchopulmonary dysplasia.
Identifiants
pubmed: 36385519
doi: 10.1038/s41390-022-02387-z
pii: 10.1038/s41390-022-02387-z
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
287-290Commentaires et corrections
Type : ErratumIn
Informations de copyright
© 2022. The Author(s), under exclusive licence to the International Pediatric Research Foundation, Inc.
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