Cargando…
Quantification of Early Neonatal Oxygen Exposure as a Risk Factor for Retinopathy of Prematurity Requiring Treatment
PURPOSE: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness related to oxygen exposure in premature infants. Since oxygen monitoring protocols have reduced the incidence of treatment-requiring ROP (TR-ROP), it remains unclear whether oxygen exposure remains a relevant risk fa...
Autores principales: | Chen, Jimmy S., Anderson, Jamie E., Coyner, Aaron S., Ostmo, Susan, Sonmez, Kemal, Erdogmus, Deniz, Jordan, Brian K., McEvoy, Cynthia T., Dukhovny, Dmitry, Schelonka, Robert L., Paul Chan, R.V., Singh, Praveer, Kalpathy-Cramer, Jayashree, Chiang, Michael F., Campbell, J. Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562374/ https://www.ncbi.nlm.nih.gov/pubmed/36275192 http://dx.doi.org/10.1016/j.xops.2021.100070 |
Ejemplares similares
-
Oxygenation Fluctuations Associated with Severe Retinopathy of Prematurity: Insights from a Multimodal Deep Learning Approach
por: Lin, Wei-Chun, et al.
Publicado: (2023) -
Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence: Application to Retinopathy of Prematurity Diagnosis
por: Coyner, Aaron S., et al.
Publicado: (2022) -
Improved Training Efficiency for Retinopathy of Prematurity Deep Learning Models Using Comparison versus Class Labels
por: Hanif, Adam, et al.
Publicado: (2022) -
Evaluation of an Artificial Intelligence System for Retinopathy of Prematurity Screening in Nepal and Mongolia
por: Cole, Emily, et al.
Publicado: (2022) -
Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach
por: Yildiz, Veysi M., et al.
Publicado: (2020)