AIMC Topic: Pregnancy

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Deep Learning Model Based on Multisequence MRI Images for Assessing Adverse Pregnancy Outcome in Placenta Accreta.

Journal of magnetic resonance imaging : JMRI Oct 18, 2023
BACKGROUND: Preoperative assessment of adverse outcomes risk in placenta accreta spectrum (PAS) disorders is of high clinical relevance for perioperative management and prognosis.
Humans Retrospective Studies Placenta Deep Learning Placenta Accreta Pregnancy Outcome Magnetic Resonance Imaging Pregnancy Female
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The neglected emotional drawbacks of the prioritization of embryos to transfer.

Reproductive biomedicine online Oct 14, 2023
In recent years, increasing efforts have been made to develop advanced techniques that could predict the potential of implantation of each single embryo and prioritize the transfer of those at higher chance. The most promising include non-invasive pr...
Blastocyst Aneuploidy Preimplantation Diagnosis Emotions Genetic Testing Artificial Intelligence Pregnancy Female Fertilization in Vitro Embryo Implantation Humans
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Segment-Based Unsupervised Learning Method in Sensor-Based Human Activity Recognition.

Sensors (Basel, Switzerland) Oct 13, 2023
Sensor-based human activity recognition (HAR) is a task to recognize human activities, and HAR has an important role in analyzing human behavior such as in the healthcare field. HAR is typically implemented using traditional machine learning methods....
Unsupervised Machine Learning Labor, Obstetric Human Activities Recognition, Psychology Machine Learning Pregnancy Female Humans
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A multimodal deep learning model for predicting severe hemorrhage in placenta previa.

Scientific reports Oct 13, 2023
Placenta previa causes life-threatening bleeding and accurate prediction of severe hemorrhage leads to risk stratification and optimum allocation of interventions. We aimed to use a multimodal deep learning model to predict severe hemorrhage. Using M...
Placenta Previa Placenta Placenta Accreta Humans Retrospective Studies Pregnancy Female Deep Learning Blood Loss, Surgical
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Deep learning for estimation of fetal weight throughout the pregnancy from fetal abdominal ultrasound.

American journal of obstetrics & gynecology MFM Oct 10, 2023
BACKGROUND: Fetal weight is currently estimated from fetal biometry parameters using heuristic mathematical formulas. Fetal biometry requires measurements of the fetal head, abdomen, and femur. However, this examination is prone to inter- and intraob...
Abdomen Fetal Weight Reproducibility of Results Deep Learning Humans Retrospective Studies Pregnancy Female
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Development and validation of an artificial intelligence assisted prenatal ultrasonography screening system for trainees.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Oct 4, 2023
OBJECTIVE: Fetal anomaly screening via ultrasonography, which involves capturing and interpreting standard views, is highly challenging for inexperienced operators. We aimed to develop and validate a prenatal-screening artificial intelligence system ...
Humans Ultrasonography, Prenatal Retrospective Studies Artificial Intelligence Ultrasonography Pregnancy Prenatal Diagnosis Female
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Correlations between a deep learning-based algorithm for embryo evaluation with cleavage-stage cell numbers and fragmentation.

Reproductive biomedicine online Oct 2, 2023
RESEARCH QUESTION: Do cell numbers and degree of fragmentation in cleavage-stage embryos, assessed manually, correlate with evaluations made by deep learning algorithm model iDAScore v2.0?
Female Deep Learning Embryo Transfer Humans Retrospective Studies Pregnancy Embryo, Mammalian Pregnancy, Multiple Live Birth Fertilization in Vitro Cell Count
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Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?

Prenatal diagnosis Sep 30, 2023
BACKGROUND: Artificial intelligence (AI) has the potential to improve prenatal detection of congenital heart disease. We analysed the performance of the current national screening programme in detecting hypoplastic left heart syndrome (HLHS) to compa...
Ultrasonography, Prenatal Pregnancy Hypoplastic Left Heart Syndrome Humans Female Artificial Intelligence Sensitivity and Specificity
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An intelligent adverse delivery outcomes prediction model based on the fusion of multiple obstetric clinical data.

Computer methods in biomechanics and biomedical engineering Sep 28, 2023
Adverse delivery outcomes is a major re-productive health problem that affects the physical and mental health of pregnant women. Obviously, obstetric clinical data has periodically time series characteristics. This paper proposed a three stage advers...
Delivery, Obstetric Female Pregnancy Outcome Humans Neural Networks, Computer Pregnancy
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Analysis of Prospective Genetic Indicators for Prenatal Exposure to Arsenic in Newborn Cord Blood of Using Machine Learning.

Biological trace element research Sep 23, 2023
Using a machine learning methods, we aim to find biological effect biomarkers of prenatal arsenic exposure in newborn cord blood. From the Gene Expression Omnibus (GEO) database, two datasets (GSE48354 and GSE7967) pertaining to cord blood sequencing...
Humans Maternal Exposure Machine Learning Infant, Newborn Biomarkers Arsenic Pregnancy Fetal Blood Female
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