AIMC Topic: Pregnancy

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Implementation of a scientific approach to intrapartum care: the Emergency Caesarean Section-Decision Optimising Tool (EC-DOT) to eliminate avoidable harm to mothers and babies.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
Safe intrapartum care requires masterly observation, timely interventions, verbalization and escalation (MOTIVE) to optimize maternal and perinatal outcomes. In clinical situations where continuation of labor is deemed likely to worsen maternal and p...

The Effectiveness of an Artificial Intelligence-Based Gamified Intervention for Improving Maternal Health Outcomes Among Refugees and Underserved Women in Lebanon: Community Interventional Trial.

JMIR mHealth and uHealth
BACKGROUND: In Lebanon, disadvantaged pregnant women show poor maternal outcomes due to limited access to antenatal care (ANC) and a strained health care system, compounded by ongoing conflicts and a significant refugee population. Despite substantia...

Interpretable machine learning model for predicting low birth weight in singleton pregnancies: a retrospective cohort study.

BMC pregnancy and childbirth
BACKGROUND: Low birth weight (LBW), defined as a newborn weighing less than 2500 g, is an increasingly significant public health concern. Exploring the risk and protective factors for LBW is getting more and more important. This study aimed to utiliz...

Machine learning to predict the role of CHWs in shifting birth preferences away from homebirth in India.

Scientific reports
This study utilized well-known supervised machine learning algorithms to NFHS‑5 data of West Bengal, India, to predict the place of birth (home vs facility) by integrating CHW (community health worker) contact factors and women participant's percepti...

Machine learning algorithms for predicting and identifying the influencing predictors of antenatal care visits among women in Bangladesh: Evidence from BDHS 2022 data.

PloS one
BACKGROUND AND OBJECTIVE: Bangladesh, a South Asian country, continues to face significant challenges in maternal health, as reflected by its high maternal mortality ratio (MMR). According to the 2022 Bangladesh Demographic and Health Survey (BDHS), ...

Evaluation of ChatGPT-5 responses in obstetric and gynecological emergencies: concordance, readability, and clinical reliability.

BMC emergency medicine
BACKGROUND: This study aimed to evaluate the compliance with guidelines, clinical safety, and applicability of ChatGPT-5 responses in obstetric and gynecological emergency scenarios. With the increasing role of AI-powered large language models (LLMs)...

Applying machine learning to predict quality ANC determinants in Bangladesh: a BDHS-2022 cross-sectional study.

Scientific reports
Quality antenatal care (ANC) is critical for maternal and neonatal health. Despite improvements in healthcare, disparities in ANC access and quality persist, particularly in underserved areas of Bangladesh. This study aimed to identify the key determ...

Mitochondria-associated endoplasmic reticulum membrane (MAM)-associated calpains system in preeclampsia.

BMC pregnancy and childbirth
BACKGROUND: Preeclampsia (PE) is a multisystem disorder characterized primarily by hypertension and proteinuria after 20 weeks of gestation, significantly impacting maternal and fetal health. The etiology remains unclear, but it is primarily attribut...

Integrative transcriptomic analysis identifies shared EndMT-related gene signatures in endometriosis and recurrent miscarriage.

Scientific reports
Endometriosis (EMs) and recurrent miscarriage (RM) represent major reproductive health challenges. This study investigates the involvement of endothelial-mesenchymal transition (EndMT) in these conditions through integrative bioinformatics analysis, ...

Chemically Labeled Exposome Analysis (CLEAN): A Strategy for Nontargeted Identification of Urinary Metabolites.

Environmental science & technology
Urinary exposome analysis faces analytical challenges due to the lack of reference standards for biotransformed products and the wide structural diversity of metabolites. This study developed a chemically labeled exposome analysis (CLEAN) strategy fo...