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Postnatal gestational age estimation of newborns using Small Sample Deep Learning
2019
Image and Vision Computing
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Our main contribution is a novel system for automatic postnatal gestational age estimation using small sets of images of a newborn's face, foot and ear. ...
This indicates that even with a very small set of data, our method is a viable candidate for postnatal gestational age estimation in areas were USS is not available. ...
Small Sample Learning Our Small Sample Deep Learning method presented in this paper can be divided into two stages: 1. ...
doi:10.1016/j.imavis.2018.09.003
pmid:31762527
pmcid:PMC6859867
fatcat:3eqiak7b2bgw3g5srf52ftqzbe
Small Sample Deep Learning for Newborn Gestational Age Estimation
2017
2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)
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In this paper, we present an automatic system for postnatal gestational age estimation aimed to be deployed on mobile phones, using small sets of images of a newborn's face, foot and ear. ...
This indicates that even with a very small set of data, our method is a viable candidate for postnatal gestational age estimation in areas were USS is not available. 978-1-5090-4023-0/17/$31.00 c 2017 ...
Training of our Small Sample Deep Learning structure consists of two phases: 1. ...
doi:10.1109/fg.2017.19
dblp:conf/fgr/TorresVHWS17
fatcat:ljalfo533vebbajqm4fcyccptu
Postnatal gestational age estimation via newborn screening analysis: application and potential
2019
Espert Review of Proteomics
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Given the importance of accurately ascertaining estimates of preterm birth and in light of current limitations in postnatal gestational age (GA) estimation, novel methods of estimating GA postnatally in ...
Areas covered: Circulating analytes found in newborn blood samples vary by GA. ...
We are also exploring state-of-the-art artificial intelligence (AI) modeling approaches such as deep learning neural networks (DLNN). ...
doi:10.1080/14789450.2019.1654863
pmid:31422714
pmcid:PMC6816481
fatcat:pb5kq4heanbglpuckvotngbgky
External validation of machine learning models including newborn metabolomic markers for postnatal gestational age estimation in East and South-East Asian infants [version 2; peer review: 1 approved, 3 approved with reservations]
2021
Gates Open Research
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Postnatal gestational age (GA) algorithms derived from newborn metabolic profiles have emerged as a novel method of acquiring population-level preterm birth estimates in low resource settings. ...
ELASTICNET machine learning models were developed to estimate GA in a cohort of infants from Canada using sex, birth weight and metabolomic markers from newborn heel prick blood samples. ...
Development and external validation of machine learning algorithms for postnatal gestational age estimation using clinical data and metabolomic markers. ...
doi:10.12688/gatesopenres.13131.2
doaj:8ac7beff887d4ca1a9b9042acee8afee
fatcat:r4vqixotknfbha4fj4mc25vpua
Deep clinical and biological phenotyping of the preterm birth and small for gestational age syndromes: The INTERBIO-21st Newborn Case-Control Study protocol
2018
Gates Open Research
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age and their interactions, using deep phenotyping of clinical, growth and epidemiological data and associated nutritional, biochemical, omic and histological profiles. ...
Methods: In the INTERBIO-21st Newborn Case-Control Study, a major component of Phase II, our objective is to investigate the mechanisms potentially responsible for preterm birth and small for gestational ...
We are indebted to GAPPS for the supply of sample processing kits. ...
doi:10.12688/gatesopenres.12869.1
fatcat:ome6wk7v5retdi5o3s4whnire4
Open-source, machine and deep learning-based automated algorithm for gestational age estimation through smartphone lens imaging
2018
Biomedical Optics Express
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Gestational age estimation at time of birth is critical for determining the degree of prematurity of the infant and for administering appropriate postnatal treatment. ...
The algorithm is expected to be an influential tool for remote and point-of-care gestational age estimation of premature neonates in low-income countries. ...
Parallel to our clinical trial, a recent deep learning-based method has utilized images of newborns' faces, feet, and ears to determine gestational age [41] . ...
doi:10.1364/boe.9.006038
pmid:31065411
pmcid:PMC6491013
fatcat:7rpjz35z4bgfvdwbwptk3ynyte
Survival and major neurodevelopmental impairment in extremely low gestational age newborns born 1990–2000: a retrospective cohort study
2007
BMC Pediatrics
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It is important to determine if rates of survival and major neurodevelopmental impairment in extremely low gestational age newborns (ELGANs; infants born at 23-27 weeks gestation) are changing over time ...
Outcomes at one year adjusted age were compared for two epochs of birth: epoch ...
Acknowledgements This project was supported by the North Carolina Department of Health and Human Services and the Brenner Center for Child and Adolescent Health. ...
doi:10.1186/1471-2431-7-20
pmid:17477872
pmcid:PMC1876228
fatcat:eamvuv35qbcz3h7srlh535t77u
Estimation of Gestational Age via Image Analysis of Anterior Lens Capsule Vascularity in Preterm Infants: A Pilot Study
2019
Frontiers in Pediatrics
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ALCV estimates of gestational age were within 0.11 ± 1.3 weeks of ultrasound estimates. ...
Conclusions: This novel application of smartphone ophthalmoscopy and ALCV image analysis may provide a safe, accurate and non-invasive technology to estimate postnatal gestational age, especially in low ...
This study had a larger sample size, with greater statistical power, and will allow for machine learning approaches to improve the prediction of gestational age. ...
doi:10.3389/fped.2019.00043
pmid:30842940
pmcid:PMC6391335
fatcat:lzm4e4imfjbkzbhrm6vwtxxosq
Deep clinical and biological phenotyping of the preterm birth and small for gestational age syndromes: The INTERBIO-21st Newborn Case-Control Study protocol
2019
Gates Open Research
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age and their interactions, using deep phenotyping of clinical, growth and epidemiological data and associated nutritional, biochemical, omic and histological profiles. ...
Methods: In the INTERBIO-21st Newborn Case-Control Study, a major component of Phase II, our objective is to investigate the mechanisms potentially responsible for preterm birth and small for gestational ...
We are indebted to GAPPS for the supply of sample processing kits. ...
doi:10.12688/gatesopenres.12869.2
pmid:31172050
pmcid:PMC6545521
fatcat:d4ydkaafnvfjzpaf76inn5eaim
A maChine and deep Learning Approach to predict pulmoNary hyperteNsIon in newbornS with congenital diaphragmatic Hernia (CLANNISH): Protocol for a retrospective study
2021
PLoS ONE
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We propose applying Machine Learning (ML), and Deep Learning (DL) approaches to fetuses and newborns with CDH to develop forecasting models in prenatal epoch, based on the integrated analysis of clinical ...
Introduction Outcome predictions of patients with congenital diaphragmatic hernia (CDH) still have some limitations in the prenatal estimate of postnatal pulmonary hypertension (PH). ...
of the Department of Pediatric Surgery, anesthesiologists of the Pediatric Anesthesiology and Intensive Care Unit, nurses of the operating room. ...
doi:10.1371/journal.pone.0259724
pmid:34752491
pmcid:PMC8577746
fatcat:jeidt5mt6rgcrhz7bs2notii6y
Brain age predicted using graph convolutional neural network explains developmental trajectory in preterm neonates
[article]
2021
bioRxiv
pre-print
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Our findings demonstrate that GCN-based age prediction of preterm neonates (n=170; mean absolute error [MAE]: 1.06 weeks) outperformed conventional machine learning algorithms and deep learning methods ...
Dramatic alterations in brain morphology, such as cortical thickness and sulcal folding, occur during the 3rd trimester of gestation which overlaps with the period of premature births. ...
To study brain aging using PBA, studies to date particularly focused on using machine learning and deep learning (DL) methods (LeCun et al., 2015; Peng et al., 2019) that learn important features without ...
doi:10.1101/2021.05.15.444320
fatcat:p2hhvgtyp5fejgqnagphfukvzm
Prenatal depression effects on the fetus and newborn: a review
2006
Infant Behavior and Development
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A review of research on prenatal depression effects on the fetus and newborn suggests that they experience prenatal, perinatal and postnatal complications. ...
Newborns of depressed mothers then show a biochemical/physiological profile that mimics their mothers' prenatal biochemical/physiological profile including elevated cortisol, lower levels of dopamine and ...
age at birth and gestational age when fetal weight was estimated. ...
doi:10.1016/j.infbeh.2006.03.003
pmid:17138297
fatcat:ezwf5ndf65buje24s2gjsbmsoy
Neonatal sepsis and simple minor neurological dysfunction
2017
Pediatrics International
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of cerebral palsy (CP). 5 However, despite limited data, preliminary evidence suggests that premature newborns are at an increased risk of MND in comparison with age-matched term newborns. 6,7 An increased ...
This study examined potential risk factors for and consequences of simple minor neurological dysfunction (SMND), in a group of very low birth weight newborns followed until preschool age. ...
Acknowledgement We would like to kindly express our deep thanks to all participant children and their parents.
Disclosure The authors declare no conflict of interest and have nothing to disclose. ...
doi:10.1111/ped.13217
pmid:27935218
fatcat:wds4uarvqrgnhbbia2t262bq54
Validity of Newborn Clinical Assessment to Determine Gestational Age in Bangladesh
2016
Pediatrics
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BACKGROUND: Gestational age (GA) is frequently unknown or inaccurate in pregnancies in lowincome countries. ...
CONCLUSIONS: Newborn clinical assessment of GA is challenging at the community level in low-resource settings. ...
ACKNOWLEDGMENTS We thank all the staff of the Projahnmo team with special thanks to those who implemented this ...
doi:10.1542/peds.2015-3303
pmid:27313070
pmcid:PMC4925072
fatcat:j62ohdvedbeghmeny2biils6xu
Simplified models to assess newborn gestational age in low-middle income countries: findings from a multicountry, prospective cohort study
2021
BMJ Global Health
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This study aimed to develop and validate programmatically feasible and accurate approaches to estimate newborn gestational age (GA) in low resource settings.MethodsThe WHO Alliance for Maternal and Newborn ...
Machine-learning techniques were used to construct ensemble models. ...
Acknowledgements We would like to thank all of the pregnant women and infants who participated in the study. We acknowledge all research field teams and communities at each site. ...
doi:10.1136/bmjgh-2021-005688
pmid:34518201
fatcat:hxxv32733ng7ninajsdzbvz2iy
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