AIMC Topic: Pregnancy
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Employing machine learning models to predict pregnancy termination among adolescent and young women aged 15-24 years in East Africa.
Scientific reports
Dec 3, 2024
Pregnancy termination is still a sensitive and continuing public health issue due to several political, economic, religious, and social concerns. This study assesses the applications of machine learning models in the prediction of pregnancy terminati...
Is Artificial Intelligence (AI) currently able to provide evidence-based scientific responses on methods that can improve the outcomes of embryo transfers? No.
JBRA assisted reproduction
Dec 3, 2024
OBJECTIVE: The rapid development of Artificial Intelligence (AI) has raised questions about its potential uses in different sectors of everyday life. Specifically in medicine, the question arose whether chatbots could be used as tools for clinical de...
Artificial Intelligence in Human Reproduction.
Archives of medical research
Nov 29, 2024
The use of artificial intelligence (AI) in human reproduction is a rapidly evolving field with both exciting possibilities and ethical considerations. This technology has the potential to improve success rates and reduce the emotional and financial b...
An explainable ultrasound-based machine learning model for predicting reproductive outcomes after frozen embryo transfer.
Reproductive biomedicine online
Nov 28, 2024
RESEARCH QUESTION: Can an optimal machine learning model be developed to predict reproductive outcomes following frozen embryo transfer (FET)?
DeepCTG® 2.0: Development and validation of a deep learning model to detect neonatal acidemia from cardiotocography during labor.
Computers in biology and medicine
Nov 27, 2024
Cardiotocography (CTG) is the main tool available to detect neonatal acidemia during delivery. Presently, obstetricians and midwives primarily rely on visual interpretation, leading to a significant intra-observer variability. In this paper, we build...
Predicting vaginal delivery after labor induction using machine learning: Development of a multivariable prediction model.
Acta obstetricia et gynecologica Scandinavica
Nov 27, 2024
INTRODUCTION: Induction of labor, often used for pregnancy termination, has globally rising rates, especially in high-income countries where pregnant women present with more comorbidities. Consequently, concerns on a potential rise in cesarean sectio...
Improved clinical pregnancy rates in natural frozen-thawed embryo transfer cycles with machine learning ovulation prediction: insights from a retrospective cohort study.
Scientific reports
Nov 27, 2024
This study aims to develop physician support software for determining ovulation time and assess its impact on pregnancy outcomes in natural cycle frozen embryo transfers (NC-FET). To develop, assess, and validate an ovulation prediction model, three ...
Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques.
Frontiers in public health
Nov 27, 2024
BACKGROUND: Sub-Saharan Africa faces high neonatal and maternal mortality rates due to limited access to skilled healthcare during delivery. This study aims to improve the classification of health facilities and home deliveries using advanced machine...
Artificial intelligence chatbots versus traditional medical resources for patient education on "Labor Epidurals": an evaluation of accuracy, emotional tone, and readability.
International journal of obstetric anesthesia
Nov 26, 2024
BACKGROUND: Labor epidural analgesia is a widely used method for pain relief in childbirth, yet information accessibility for expectant mothers remains a challenge. Artificial intelligence (AI) chatbots like Chat Generative Pre-Trained Transformer (C...
Constructing small for gestational age prediction models: A retrospective machine learning study.
European journal of obstetrics, gynecology, and reproductive biology
Nov 26, 2024
OBJECTIVE: To develop machine learning prediction models for small for gestational age with baseline characteristics and biochemical tests of various pregnancy stages individually and collectively and compare predictive performance.
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