AIMC Topic: Pregnancy
Clear Filters Showing 1081 to 1090 of 1144 articles
Wavelet Spectral Time-Frequency Training of Deep Convolutional Neural Networks for Accurate Identification of Micro-Scale Sharp Wave Biomarkers in the Post-Hypoxic-Ischemic EEG of Preterm Sheep.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
Neonatal hypoxic-ischemic encephalopathy (HIE) evolves over different phases of time during recovery. Some neuroprotection treatments are only effective for specific, short windows of time during this evolution of injury. Clinically, we often do not ...
Deep Convolutional Neural Network and Reverse Biorthogonal Wavelet Scalograms for Automatic Identification of High Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
Diagnosis of hypoxic-ischemic encephalopathy (HIE) is currently limited and prognostic biological markers are required for early identification of at risk infants at birth. Using pre-clinical data from our fetal sheep models, we have shown that micro...
Wavelet Spectral Deep-training of Convolutional Neural Networks for Accurate Identification of High-Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG of Preterm Sheep.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2020
Early diagnosis and prognosis of babies with signs of hypoxic-ischemic encephalopathy (HIE) is currently limited and requires reliable prognostic biomarkers to identify at risk infants. Using our pre-clinical fetal sheep models, we have demonstrated ...
Using Supervised Learning Methods to Develop a List of Prescription Medications of Greatest Concern during Pregnancy.
Maternal and child health journal
Jul 1, 2020
INTRODUCTION: Women and healthcare providers lack adequate information on medication safety during pregnancy. While resources describing fetal risk are available, information is provided in multiple locations, often with subjective assessments of ava...
Can deep learning automatically predict fetal heart pregnancy with almost perfect accuracy?
Human reproduction (Oxford, England)
Jun 1, 2020
Reply: Can deep learning automatically predict fetal heart pregnancy with almost perfect accuracy?
Human reproduction (Oxford, England)
Jun 1, 2020
When two heads are better than one: nutritional epidemiology meets machine learning.
The American journal of clinical nutrition
Jun 1, 2020
Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF.
Human reproduction (Oxford, England)
Apr 28, 2020
STUDY QUESTION: Can an artificial intelligence (AI)-based model predict human embryo viability using images captured by optical light microscopy?
Machine-learning classification of neurocognitive performance in children with perinatal HIV initiating de novo antiretroviral therapy.
AIDS (London, England)
Apr 1, 2020
OBJECTIVE: To develop a predictive model of neurocognitive trajectories in children with perinatal HIV (pHIV).
Reply: Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer.
Human reproduction (Oxford, England)
Feb 29, 2020
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