AIMC Topic: Pregnancy
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Application of convolutional neural network on early human embryo segmentation during in vitro fertilization.
Journal of cellular and molecular medicine
Jan 24, 2021
Selection of the best quality embryo is the key for a faithful implantation in in vitro fertilization (IVF) practice. However, the process of evaluating numerous images captured by time-lapse imaging (TLI) system is time-consuming and some important ...
Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos.
Medical image analysis
Jan 23, 2021
Ultrasound is a widely used imaging modality, yet it is well-known that scanning can be highly operator-dependent and difficult to perform, which limits its wider use in clinical practice. The literature on understanding what makes clinical sonograph...
Predicting pregnancy status from mid-infrared spectroscopy in dairy cow milk using deep learning.
Journal of dairy science
Jan 21, 2021
Accurately identifying pregnancy status is imperative for a profitable dairy enterprise. Mid-infrared (MIR) spectroscopy is routinely used to determine fat and protein concentrations in milk samples. Mid-infrared spectra have successfully been used t...
Application of Machine-Learning Methods to Recognize mitoBK Channels from Different Cell Types Based on the Experimental Patch-Clamp Results.
International journal of molecular sciences
Jan 15, 2021
(1) Background: In this work, we focus on the activity of large-conductance voltage- and Ca2+-activated potassium channels (BK) from the inner mitochondrial membrane (mitoBK). The characteristic electrophysiological features of the mitoBK channels ar...
Pregnancy, Animal
Ion Channel Gating
Patch-Clamp Techniques
Large-Conductance Calcium-Activated Potassium Channels
Mitochondria
Hippocampus
Protein Conformation
Endothelium
Potassium Channels
Algorithms
Pregnancy
Female
Animals
Rats, Wistar
Rats
Fibroblasts
Kinetics
Neural Networks, Computer
Artificial Intelligence
Machine Learning
Towards the selection of embryos with the greatest implantation potential.
Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology
Jan 12, 2021
Choosing the most suitable embryo remains challenging as the standard approach to select top-quality embryos for transfer rely on static morphological assessment. It is completed after fertilisation, on days 3 and 5 post oocyte retrieval and evaluate...
Machine learning reveals bilateral distribution of somatic L1 insertions in human neurons and glia.
Nature neuroscience
Jan 11, 2021
Retrotransposons can cause somatic genome variation in the human nervous system, which is hypothesized to have relevance to brain development and neuropsychiatric disease. However, the detection of individual somatic mobile element insertions present...
Retroelements
Mutagenesis, Insertional
Embryonic Development
Genome
Neuroglia
Cation Transport Proteins
Humans
Neurons
Female
Machine Learning
Schizophrenia
Adult
Mental Disorders
High-Throughput Nucleotide Sequencing
Long Interspersed Nucleotide Elements
Pregnancy
HeLa Cells
Adaptor Proteins, Signal Transducing
Automated ultrasound assessment of amniotic fluid index using deep learning.
Medical image analysis
Jan 7, 2021
The estimation of antenatal amniotic fluid (AF) volume (AFV) is important as it offers crucial information about fetal development, fetal well-being, and perinatal prognosis. However, AFV measurement is cumbersome and patient specific. Moreover, it i...
Deep learning model for classifying endometrial lesions.
Journal of translational medicine
Jan 6, 2021
BACKGROUND: Hysteroscopy is a commonly used technique for diagnosing endometrial lesions. It is essential to develop an objective model to aid clinicians in lesion diagnosis, as each type of lesion has a distinct treatment, and judgments of hysterosc...
Artificial intelligence: The current state of affairs for AI in pregnancy and labour.
Journal of gynecology obstetrics and human reproduction
Dec 31, 2020
Development and validation of an artificial intelligence system for grading colposcopic impressions and guiding biopsies.
BMC medicine
Dec 22, 2020
BACKGROUND: Colposcopy diagnosis and directed biopsy are the key components in cervical cancer screening programs. However, their performance is limited by the requirement for experienced colposcopists. This study aimed to develop and validate a Colp...
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