Bronchopulmonary dysplasia predicted at birth by artificial intelligence

AIM: To develop a fast bedside test for prediction and early targeted intervention of bronchopulmonary dysplasia (BPD) to improve the outcome. METHODS: In a multicentre study of preterm infants with gestational age 24‐31 weeks, clinical data present at birth were combined with spectral data of gastr...

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Detalles Bibliográficos
Autores principales: Verder, Henrik, Heiring, Christian, Ramanathan, Rangasamy, Scoutaris, Nikolaos, Verder, Povl, Jessen, Torben E., Höskuldsson, Agnar, Bender, Lars, Dahl, Marianne, Eschen, Christian, Fenger‐Grøn, Jesper, Reinholdt, Jes, Smedegaard, Heidi, Schousboe, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Regular Articles & Brief Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891330/
https://www.ncbi.nlm.nih.gov/pubmed/32569404
http://dx.doi.org/10.1111/apa.15438

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7891330/
https://www.ncbi.nlm.nih.gov/pubmed/32569404
http://dx.doi.org/10.1111/apa.15438

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