AI to predict extrauterine growth restriction during transitional nutrition of preterm infants: a retrospective study
ML models accurately predicted EUGR across preterm subgroups, highlighting the role of early nutritional and clinical variables.
Authors
- Valeria Cavalleri
- Valentina Bozzetti
- Linda Greta Dui (ORCID: https://orcid.org/0000-0002-6826-3419)
- Simona Ferrante (ORCID: https://orcid.org/0000-0002-7835-1965)
- Emanuela Zannin (ORCID: https://orcid.org/0000-0002-5834-3837)
- Maria Luisa Ventura
- Lucia Iozzi
- Silvia Riccò
- Paola Coglianese
Institutions
- Massachusetts General Hospital (US)
- Azienda Ospedaliera San Gerardo (IT)
- IRCCS Ospedale San Raffaele (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- Fondazione IRCCS Istituto Neurologico Carlo Besta (IT)
- Politecnico di Milano (IT)
Publication Details
- Journal
- Journal of Perinatology
- Published
- 2025-10-13
- DOI
- https://doi.org/10.1038/s41372-025-02445-4
- Citations
- 3
- Primary Topic
- Infant Nutrition and Health
- Type
- article
- Field-Weighted Citation Impact
- 3.36