AIMC Topic: Pregnancy
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Primary care research on hypertension: A bibliometric analysis using machine-learning.
Medicine
Nov 22, 2024
Hypertension is one of the most important chronic diseases worldwide. Hypertension is a critical condition encountered frequently in daily life, forming a significant area of service in Primary Health Care (PHC), which healthcare professionals often ...
[Application of Artificial Intelligence in Sperm Quality Analysis and Sperm Screening].
Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
Sep 20, 2024
Infertility is a global health issue, and more and more people are hoping to have babies by means of assisted reproductive technology. However, there are still many challenges in fertilization and pregnancy outcomes. Sperm quality is a key factor aff...
Time-Lapse Imaging and Artificial Intelligence: It is Just the End of the Beginning!
Journal of obstetrics and gynaecology Canada : JOGC = Journal d'obstetrique et gynecologie du Canada : JOGC
Sep 1, 2024
Imagerie time-lapse et intelligence artificielle : Ce n'est que la fin du début!
Journal of obstetrics and gynaecology Canada : JOGC = Journal d'obstetrique et gynecologie du Canada : JOGC
Sep 1, 2024
Enhancing Obstetric Ultrasonography With Artificial Intelligence in Resource-Limited Settings.
JAMA
Aug 27, 2024
Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age From Blind Ultrasound Sweeps.
JAMA
Aug 27, 2024
IMPORTANCE: Accurate assessment of gestational age (GA) is essential to good pregnancy care but often requires ultrasonography, which may not be available in low-resource settings. This study developed a deep learning artificial intelligence (AI) mod...
Data for AI in Congenital Heart Defects: Systematic Review.
Studies in health technology and informatics
Aug 22, 2024
Congenital heart disease (CHD) represents a significant challenge in prenatal care due to low prenatal detection rates. Artificial Intelligence (AI) offers promising avenues for precise CHD prediction. In this study we conducted a systematic review a...
[Application of the blastomere count variations "skip value" in the embryo AI assessment].
Zhonghua fu chan ke za zhi
Jul 25, 2024
To explore the correlation between blastomere count variations "skip value" which extracted from by time-lapse technology (TLT) combined with artificial intelligence (AI) and morphological features of in vitro fertilization (IVF) embryo, and to test...
Black-White Differences in Chronic Stress Exposures to Predict Preterm Birth: Interpretable, Race/Ethnicity-Specific Machine Learning Models.
Studies in health technology and informatics
Jul 24, 2024
We developed Multivariate Adaptive Regression Splines (MARS) machine learning models of chronic stressors using the Pregnancy Risk Assessment Monitoring System data (2012-2017) to predict preterm birth (PTB) more accurately and identify chronic stres...
Machine Learning in Electronic Health Records: Identifying High-Risk Obstetric Patients Pre and During Labor.
Studies in health technology and informatics
Jul 24, 2024
Our goal is to apply artificial intelligence (AI) and statistical analysis to understand the relationship between various factors and outcomes during pregnancy and labor and delivery, in order to personalize birth management and reduce complications ...
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