AIMC Topic: Pregnancy
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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.
Enhancing clinical utility: deep learning-based embryo scoring model for non-invasive aneuploidy prediction.
Reproductive biology and endocrinology : RB&E
May 22, 2024
BACKGROUND: The best method for selecting embryos ploidy is preimplantation genetic testing for aneuploidies (PGT-A). However, it takes more labour, money, and experience. As such, more approachable, non- invasive techniques were still needed. Analys...
Risk Factors for Perinatal Arterial Ischemic Stroke: A Machine Learning Approach.
Neurology
May 15, 2024
BACKGROUND AND OBJECTIVES: Perinatal arterial ischemic stroke (PAIS) is a focal vascular brain injury presumed to occur between the fetal period and the first 28 days of life. It is the leading cause of hemiparetic cerebral palsy. Multiple maternal, ...
Evaluating distributed-learning on real-world obstetrics data: comparing distributed, centralized and local models.
Scientific reports
May 15, 2024
This study focused on comparing distributed learning models with centralized and local models, assessing their efficacy in predicting specific delivery and patient-related outcomes in obstetrics using real-world data. The predictions focus on key mom...
Interpretable machine learning predicts postpartum hemorrhage at time of admission.
American journal of obstetrics & gynecology MFM
May 12, 2024
Machine learning techniques for prediction in pregnancy complicated by autoimmune rheumatic diseases: Applications and challenges.
International immunopharmacology
May 11, 2024
Autoimmune rheumatic diseases are chronic conditions affecting multiple systems and often occurring in young women of childbearing age. The diseases and the physiological characteristics of pregnancy significantly impact maternal-fetal health and pre...
Machine learning in prenatal MRI predicts postnatal ventricular abnormalities in fetuses with isolated ventriculomegaly.
European radiology
May 10, 2024
OBJECTIVES: To evaluate the intracranial structures and brain parenchyma radiomics surrounding the occipital horn of the lateral ventricle in normal fetuses (NFs) and fetuses with ventriculomegaly (FVs), as well as to predict postnatally enlarged lat...
Machine Learning to Predict Outcomes of Fetal Cardiac Disease: A Pilot Study.
Pediatric cardiology
May 9, 2024
Prediction of outcomes following a prenatal diagnosis of congenital heart disease (CHD) is challenging. Machine learning (ML) algorithms may be used to reduce clinical uncertainty and improve prognostic accuracy. We performed a pilot study to train M...
PSFHSP-Net: an efficient lightweight network for identifying pubic symphysis-fetal head standard plane from intrapartum ultrasound images.
Medical & biological engineering & computing
May 9, 2024
The accurate selection of the ultrasound plane for the fetal head and pubic symphysis is critical for precisely measuring the angle of progression. The traditional method depends heavily on sonographers manually selecting the imaging plane. This proc...
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