AIMC Topic: Pregnancy
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A machine-learning exploration of the exposome from preconception in early childhood atopic eczema, rhinitis and wheeze development.
Environmental research
Feb 19, 2024
BACKGROUND: Most previous research on the environmental epidemiology of childhood atopic eczema, rhinitis and wheeze is limited in the scope of risk factors studied. Our study adopted a machine learning approach to explore the role of the exposome st...
Prediction of pregnancy-related complications in women undergoing assisted reproduction, using machine learning methods.
Fertility and sterility
Feb 17, 2024
OBJECTIVE: To use machine learning methods to develop prediction models of pregnancy complications in women who conceived with assisted reproductive techniques (ART).
Pattern Recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical learning (PARADISE): protocol for the development of an intelligent decision support system using fetal morphology ultrasound scan to detect fetal congenital anomaly detection.
BMJ open
Feb 15, 2024
INTRODUCTION: Congenital anomalies are the most encountered cause of fetal death, infant mortality and morbidity. 7.9 million infants are born with congenital anomalies yearly. Early detection of congenital anomalies facilitates life-saving treatment...
Artificial intelligence-powered assisted ranking of sibling embryos to increase first cycle pregnancy rate.
Reproductive biomedicine online
Feb 12, 2024
RESEARCH QUESTION: Could EMBRYOLY, an artificial intelligence embryo evaluation tool, assist embryologists to increase first cycle pregnancy rate and reduce cycles to pregnancy for patients?
Artificial Intelligence to Determine Fetal Sex.
American journal of perinatology
Feb 9, 2024
OBJECTIVE: This proof-of-concept study assessed how confidently an artificial intelligence (AI) model can determine the sex of a fetus from an ultrasound image.
Deep-Learning-Based Analysis Reveals a Social Behavior Deficit in Mice Exposed Prenatally to Nicotine.
Cells
Feb 1, 2024
Cigarette smoking during pregnancy is known to be associated with the incidence of attention-deficit/hyperactive disorder (ADHD). Recent developments in deep learning algorithms enable us to assess the behavioral phenotypes of animal models without c...
Large-scale proteomics in the first trimester of pregnancy predict psychopathology and temperament in preschool children: an exploratory study.
Journal of child psychology and psychiatry, and allied disciplines
Jan 29, 2024
BACKGROUND: Understanding the prenatal origins of children's psychopathology is a fundamental goal in developmental and clinical science. Recent research suggests that inflammation during pregnancy can trigger a cascade of fetal programming changes t...
A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study.
JMIR human factors
Jan 25, 2024
BACKGROUND: Adverse events refer to incidents with potential or actual harm to patients in hospitals. These events are typically documented through patient safety event (PSE) reports, which consist of detailed narratives providing contextual informat...
Machine learning to predict unintended pregnancy among reproductive-age women in Ethiopia: evidence from EDHS 2016.
BMC women's health
Jan 23, 2024
BACKGROUND: An unintended pregnancy is a pregnancy that is either unwanted or mistimed, such as when it occurs earlier than desired. It is one of the most important issues the public health system is currently facing, and it comes at a significant co...
Correlation between systemic inflammatory response index and thyroid function: 2009-2012 NHANES results.
Frontiers in endocrinology
Jan 22, 2024
AIMS: This study investigates the relationship between the Systemic Inflammatory Response Index (SIRI) and thyroid function.
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