AIMC Topic: Infant, Extremely Low Birth Weight

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Identifying clinical phenotypes in extremely low birth weight infants-an unsupervised machine learning approach.

European journal of pediatrics Nov 3, 2021
There is increasing evidence that patient heterogeneity significantly hinders advancement in clinical trials and individualized care. This study aimed to identify distinct phenotypes in extremely low birth weight infants. We performed an agglomerativ...
Humans Phenotype Infant, Newborn Infant, Extremely Premature Unsupervised Machine Learning Birth Weight Gestational Age Infant, Extremely Low Birth Weight
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Automated diagnosis and quantitative analysis of plus disease in retinopathy of prematurity based on deep convolutional neural networks.

Acta ophthalmologica Sep 27, 2019
BACKGROUND: The purpose of this study was to develop an automated diagnosis and quantitative analysis system for plus disease. The system provides a diagnostic decision but also performs quantitative analysis of the typical pathological features of t...
Humans Infant, Newborn Diagnosis, Computer-Assisted Deep Learning ROC Curve Angiogenesis Inhibitors Image Interpretation, Computer-Assisted Infant, Premature Intravitreal Injections Ranibizumab Retinopathy of Prematurity Retinal Vessels Infant, Extremely Low Birth Weight
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