AIMC Topic: Pregnancy
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Machine learning model based on RCA-PDCA nursing methods and differentiating factors to predict hypotension during cesarean section surgery.
Computers in biology and medicine
Apr 2, 2024
BACKGROUND: Intraoperative hypotension during cesarean section has become a serious complication for maternal and fetal healthy. It is commonly encountered by subarachnoid anesthesia. However, currently used control methods have varying degrees of si...
A deep learning framework for identifying and segmenting three vessels in fetal heart ultrasound images.
Biomedical engineering online
Apr 2, 2024
BACKGROUND: Congenital heart disease (CHD) is one of the most common birth defects in the world. It is the leading cause of infant mortality, necessitating an early diagnosis for timely intervention. Prenatal screening using ultrasound is the primary...
Current applications of artificial intelligence in assisted reproductive technologies through the perspective of a patient's journey.
Current opinion in obstetrics & gynecology
Apr 1, 2024
PURPOSE OF REVIEW: This review highlights the timely relevance of artificial intelligence in enhancing assisted reproductive technologies (ARTs), particularly in-vitro fertilization (IVF). It underscores artificial intelligence's potential in revolut...
Deep-learning computer vision can identify increased nuchal translucency in the first trimester of pregnancy.
Prenatal diagnosis
Apr 1, 2024
OBJECTIVE: Many fetal anomalies can already be diagnosed by ultrasound in the first trimester of pregnancy. Unfortunately, in clinical practice, detection rates for anomalies in early pregnancy remain low. Our aim was to use an automated image segmen...
Mapping cell-to-tissue graphs across human placenta histology whole slide images using deep learning with HAPPY.
Nature communications
Mar 28, 2024
Accurate placenta pathology assessment is essential for managing maternal and newborn health, but the placenta's heterogeneity and temporal variability pose challenges for histology analysis. To address this issue, we developed the 'Histology Analysi...
Prediction of metabolic syndrome following a first pregnancy.
American journal of obstetrics and gynecology
Mar 26, 2024
BACKGROUND: The prevalence of metabolic syndrome is rapidly increasing in the United States. We hypothesized that prediction models using data obtained during pregnancy can accurately predict the future development of metabolic syndrome.
Application of machine learning methods for predicting under-five mortality: analysis of Nigerian demographic health survey 2018 dataset.
BMC medical informatics and decision making
Mar 25, 2024
BACKGROUND: Under-five mortality remains a significant public health issue in developing countries. This study aimed to assess the effectiveness of various machine learning algorithms in predicting under-five mortality in Nigeria and identify the mos...
Artificial Intelligence in Imaging in the First Trimester of Pregnancy: A Systematic Review.
Fetal diagnosis and therapy
Mar 18, 2024
INTRODUCTION: Ultrasonography in the first trimester of pregnancy offers an early screening tool to identify high risk pregnancies. Artificial intelligence (AI) algorithms have the potential to improve the accuracy of diagnosis and assist the clinici...
Predictive value of ultrasonic artificial intelligence in placental characteristics of early pregnancy for gestational diabetes mellitus.
Frontiers in endocrinology
Mar 13, 2024
BACKGROUND: To explore the predictive value of placental features in early pregnancy for gestational diabetes mellitus (GDM) using deep and radiomics-based machine learning (ML) applied to ultrasound imaging (USI), and to develop a nomogram in conjun...
Application of artificial neural networks to evaluate femur development in the human fetus.
PloS one
Mar 13, 2024
The present article concentrates on an innovative analysis that was performed to assess the development of the femur in human fetuses using artificial intelligence. As a prerequisite, linear dimensions, cross-sectional surface areas and volumes of th...
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