AIMC Topic: Pregnancy Trimester, First
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A novel artificial intelligence model for measuring fetal intracranial markers during the first trimester based on two-dimensional ultrasound image.
International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
Jun 30, 2024
OBJECTIVE: To establish reference ranges of fetal intracranial markers during the first trimester and develop the first novel artificial intelligence (AI) model to measure key markers automatically.
Predicting first time depression onset in pregnancy: applying machine learning methods to patient-reported data.
Archives of women's mental health
May 22, 2024
PURPOSE: To develop a machine learning algorithm, using patient-reported data from early pregnancy, to predict later onset of first time moderate-to-severe depression.
Validation of the first-trimester machine learning model for predicting pre-eclampsia in an Asian population.
International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
Apr 26, 2024
OBJECTIVES: To evaluate the performance of an artificial intelligence (AI) and machine learning (ML) model for first-trimester screening for pre-eclampsia in a large Asian population.
Multiplexed serum biomarkers to discriminate nonviable and ectopic pregnancy.
Fertility and sterility
Apr 26, 2024
OBJECTIVE: To evaluate combinations of candidate biomarkers to develop a multiplexed prediction model for identifying the viability and location of an early pregnancy. In this study, we assessed 24 biomarkers with multiple machine learning-based meth...
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...
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...
Use of artificial intelligence embryo selection based on static images to predict first-trimester pregnancy loss.
Reproductive biomedicine online
Mar 5, 2024
RESEARCH QUESTION: Can an artificial intelligence embryo selection assistant predict the incidence of first-trimester spontaneous abortion using static images of IVF embryos?
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...
Serum myosin-binding protein c levels: a new marker for exclusion of preterm birth?
Turkish journal of medical sciences
Sep 9, 2023
BACKGROUND/AIM: To evaluate whether there is a relationship between serum myosin-binding protein C (MyBP-C) levels measured in the first trimester and the timing of delivery, and, if a relationship is detected, the potential of this relationship in d...
Prediction of gestational diabetes mellitus at the first trimester: machine-learning algorithms.
Archives of gynecology and obstetrics
Jul 21, 2023
PURPOSE: Short- and long-term complications of gestational diabetes mellitus (GDM) involving pregnancies and offspring warrant the development of an effective individualized risk prediction model to reduce and prevent GDM together with its associated...
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