AIMC Topic: Pregnancy
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Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment.
Computers in biology and medicine
Jun 6, 2018
Cardiotocography (CTG) is applied routinely for fetal monitoring during the perinatal period to decrease the rates of neonatal mortality and morbidity as well as unnecessary interventions. The analysis of CTG traces has become an indispensable part o...
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation.
IEEE transactions on pattern analysis and machine intelligence
Jun 1, 2018
Accurate medical image segmentation is essential for diagnosis, surgical planning and many other applications. Convolutional Neural Networks (CNNs) have become the state-of-the-art automatic segmentation methods. However, fully automatic results may ...
Assessing functional connectivity across 3D tissue engineered axonal tracts using calcium fluorescence imaging.
Journal of neural engineering
Jun 1, 2018
OBJECTIVE: Micro-tissue engineered neural networks (micro-TENNs) are anatomically-inspired constructs designed to structurally and functionally emulate white matter pathways in the brain. These 3D neural networks feature long axonal tracts spanning d...
Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing.
BMC medical informatics and decision making
May 29, 2018
BACKGROUND: We examined the comparative performance of structured, diagnostic codes vs. natural language processing (NLP) of unstructured text for screening suicidal behavior among pregnant women in electronic medical records (EMRs).
A metabolomics-based approach for non-invasive screening of fetal central nervous system anomalies.
Metabolomics : Official journal of the Metabolomic Society
May 25, 2018
BACKGROUND: Central nervous system anomalies represent a wide range of congenital birth defects, with an incidence of approximately 1% of all births. They are currently diagnosed using ultrasound evaluation. However, there is strong need for a more a...
Statistical and artificial neural network-based analysis to understand complexity and heterogeneity in preeclampsia.
Computational biology and chemistry
May 16, 2018
Preeclampsia is a pregnancy associated disease. It is characterized by high blood pressure and symptoms that are indicative of damage to other organ systems, most often involving the liver and kidneys. If left untreated, the condition could be fatal ...
A Dynamic Compliance Cervix Phantom Robot for Latent Labor Simulation.
Soft robotics
May 9, 2018
Physical simulation systems are commonly used in training of midwifery and obstetrics students, but none of these systems offers a dynamic compliance aspect that would make them more truly representative of cervix ripening. In this study, we introduc...
Evaluation of machine learning algorithms for improved risk assessment for Down's syndrome.
Computers in biology and medicine
May 4, 2018
Prenatal screening generates a great amount of data that is used for predicting risk of various disorders. Prenatal risk assessment is based on multiple clinical variables and overall performance is defined by how well the risk algorithm is optimized...
A Crossover Comparison of Standard and Telerobotic Approaches to Prenatal Sonography.
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Apr 24, 2018
OBJECTIVES: To determine the feasibility of a telerobotic approach to remotely perform prenatal sonographic examinations.
VP-Nets : Efficient automatic localization of key brain structures in 3D fetal neurosonography.
Medical image analysis
Apr 23, 2018
Three-dimensional (3D) fetal neurosonography is used clinically to detect cerebral abnormalities and to assess growth in the developing brain. However, manual identification of key brain structures in 3D ultrasound images requires expertise to perfor...
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