AIMC Topic: Pregnancy
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A deep learning model for predicting blastocyst formation from cleavage-stage human embryos using time-lapse images.
Scientific reports
Nov 14, 2024
Efficient prediction of blastocyst formation from early-stage human embryos is imperative for improving the success rates of assisted reproductive technology (ART). Clinics transfer embryos at the blastocyst stage on Day-5 but Day-3 embryo transfer o...
Prediction of clinical pregnancy outcome after single fresh blastocyst transfer during in vitro fertilization: an ensemble learning perspective.
Human fertility (Cambridge, England)
Nov 11, 2024
To establish a predictive model for clinical pregnancy outcomes following the transfer of a single fresh blastocyst in vitro fertilization (IVF). 615 patients (492 in training set and 123 in test set) who underwent the first single and fresh blastocy...
Building a machine learning-based risk prediction model for second-trimester miscarriage.
BMC pregnancy and childbirth
Nov 9, 2024
BACKGROUND: Second-trimester miscarriage is a common adverse pregnancy outcome that imposes substantial economic and psychological pressures on both the physical and mental well-being of patients and their families. Currently, there is a scarcity of ...
Predictive modeling of gestational weight gain: a machine learning multiclass classification study.
BMC pregnancy and childbirth
Nov 8, 2024
BACKGROUND: Gestational weight gain (GWG) is a critical factor influencing maternal and fetal health. Excessive or insufficient GWG can lead to various complications, including gestational diabetes, hypertension, cesarean delivery, low birth weight, ...
Healthy nutrition and weight management for a positive pregnancy experience in the antenatal period: Comparison of responses from artificial intelligence models on nutrition during pregnancy.
International journal of medical informatics
Nov 7, 2024
BACKGROUND: As artificial intelligence AI-supported applications become integral to web-based information-seeking, assessing their impact on healthy nutrition and weight management during the antenatal period is crucial.
Development and Validation of a Predictive Model for Maternal Cardiovascular Morbidity Events in Patients With Hypertensive Disorders of Pregnancy.
Anesthesia and analgesia
Nov 6, 2024
BACKGROUND: Hypertensive disorders of pregnancy (HDP) are a major contributor to maternal morbidity, mortality, and accelerated cardiovascular (CV) disease. Comorbid conditions are likely important predictors of CV risk in pregnant people. Currently,...
A multimodal deep learning-based algorithm for specific fetal heart rate events detection.
Biomedizinische Technik. Biomedical engineering
Nov 4, 2024
OBJECTIVES: This study aims to develop a multimodal deep learning-based algorithm for detecting specific fetal heart rate (FHR) events, to enhance automatic monitoring and intelligent assessment of fetal well-being.
Development and validation of preeclampsia predictive models using key genes from bioinformatics and machine learning approaches.
Frontiers in immunology
Oct 31, 2024
BACKGROUND: Preeclampsia (PE) poses significant diagnostic and therapeutic challenges. This study aims to identify novel genes for potential diagnostic and therapeutic targets, illuminating the immune mechanisms involved.
Enhancing patient understanding in obstetrics: the role of generative AI in simplifying informed consent for labor induction with oxytocin.
Journal of perinatal medicine
Oct 30, 2024
Informed consent is a cornerstone of ethical medical practice, particularly in obstetrics where procedures like labor induction carry significant risks and require clear patient understanding. Despite legal mandates for patient materials to be access...
Portable ultrasound devices for obstetric care in resource-constrained environments: mapping the landscape.
Gates open research
Oct 29, 2024
BACKGROUND: The WHO's recommendations on antenatal care underscore the need for ultrasound assessment during pregnancy. Given that maternal and perinatal mortality remains unacceptably high in underserved regions, these guidelines are imperative for ...
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