AIMC Topic: Pregnancy
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Application of artificial intelligence in screening for adverse perinatal outcomes: A protocol for systematic review.
Medicine
Dec 11, 2020
The article presents a systematic review protocol. The aim of the study is an assessment of current studies regarding the application of artificial intelligence and neural networks in the screening for adverse perinatal outcomes. We intend to compare...
Potential of Artificial Intelligence for Estimating Japanese Fetal Weights.
Acta medica Okayama
Dec 1, 2020
We developed an artificial intelligence (AI) method for estimating fetal weights of Japanese fetuses based on the gestational weeks and the bi-parietal diameter, abdominal circumference, and femur length. The AI comprised of neural network architectu...
Fennel fortified diet: New perspective with regard to fertility and sex hormones.
Pakistan journal of pharmaceutical sciences
Nov 1, 2020
The objective of this study was to evaluate the effect of Foeniculum vulgare (FV) on fertility of mice and on serum sex hormone values of rats and rabbits. We used powdered form of Foeniculum vulgare seed and added it to food of mice, rats and rabbit...
Conception, cerclage, and clinical counseling.
Fertility and sterility
Oct 1, 2020
Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology.
Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
Oct 1, 2020
Artificial intelligence (AI) uses data and algorithms to aim to draw conclusions that are as good as, or even better than, those drawn by humans. AI is already part of our daily life; it is behind face recognition technology, speech recognition in vi...
Using deep-learning algorithms to classify fetal brain ultrasound images as normal or abnormal.
Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
Oct 1, 2020
OBJECTIVES: To evaluate the feasibility of using deep-learning algorithms to classify as normal or abnormal sonographic images of the fetal brain obtained in standard axial planes.
Development and validation of a machine-learning model for prediction of shoulder dystocia.
Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
Oct 1, 2020
OBJECTIVES: To develop a machine-learning (ML) model for prediction of shoulder dystocia (ShD) and to externally validate the model's predictive accuracy and potential clinical efficacy in optimizing the use of Cesarean delivery in the context of sus...
Prediction of a Due Date Based on the Pregnancy History Data Using Machine Learning.
Studies in health technology and informatics
Sep 4, 2020
Prediction of a labor due date is important especially for the pregnancies with high risk of complications where a special treatment is needed. This is especially valid in the countries with multilevel health care institutions like Russia. In Russia ...
Metabolic activity of human blastocysts correlates with their morphokinetics, morphological grade, KIDScore and artificial intelligence ranking.
Human reproduction (Oxford, England)
Sep 1, 2020
STUDY QUESTION: Is there a relationship between blastocyst metabolism and biomarkers of embryo viability?
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 ...
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