Obstetrics & Gynecology

Pregnancy

Latest AI and machine learning research in pregnancy for healthcare professionals.

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Showing 421-441 of 3,081 articles
Current and future use of artificial intelligence in valvular heart disease imaging.

Valvular heart disease (VHD) remains significantly underdiagnosed and undertreated. This review exam...

Feb 2026 41355285
Redefining Tumor Vascular Permeability through Deep Learning-Guided Microneedle Delivery.

Low-permeability (LP) tumor vasculature constitutes a major barrier to efficient nanomedicine delive...

Feb 2026 41660810
ChatGPT-4 reliability when applied to the regional anesthesia technique sonoanatomy.

BACKGROUND: Ultrasound-guided regional anesthesia is commonly used to enhance perioperative analgesi...

Feb 2026 41661537
Bio-Inspired Smart Elastin-Like Polypeptides (ELPs) for Precision Drug Delivery: Molecular Strategies, Thermal Responsiveness, and Translational Advances.

Elastin-like polypeptides (ELPs), inspired by the natural elasticity of human elastin, are rapidly e...

Feb 2026 41656860
Foundations, evidence, and applications of translational simulation in obstetric anaesthesia: a narrative review.

Obstetric anaesthetists work in high-acuity settings where maternal and fetal conditions can deterio...

Feb 2026 41663293
PCOSFusionNet: Hybrid Deep Feature Fusion Network for PCOS Classification from Ultrasound Images of Ovaries.

Polycystic Ovary Syndrome (PCOS) is a leading cause of female infertility and is associated with var...

Feb 2026 41655150
[Design and synthesis of molecularly imprinted polymers and their applications in medical diagnosis and biocatalysis].

Molecularly imprinted technology (MIT) represents an advanced synthetic strategy that emulates biolo...

Feb 2026 41641521
Nanoparticle approaches for hepatitis therapy and clinical translation.

BACKGROUND: Hepatitis B and C viruses (HBV and HCV) remain major global health challenges, contribut...

Feb 2026 41649705
AI-FLEET: Phase I-Multimodal Deep Learning Model for Phyllodes Tumor Classification.

BACKGROUND: Fibroepithelial breast lesions, including fibroadenomas and phyllodes tumors (PTs), can ...

Feb 2026 41649783
Validation of a machine-learning-based algorithm to predict preeclampsia-related adverse outcomes on a real-world dataset.

PURPOSE: Preeclampsia is a major obstetric disorder. Machine learning (ML) models incorporating angi...

Feb 2026 41652088
A fast fully automated approach for evaluating calcified lesions in intravascular ultrasound.

AIMS: Catheter-based coronary intervention is an effective treatment for acute coronary syndrome. Ho...

Feb 2026 41716934
Prediction of CSF Intervention in Fetal Ventriculomegaly via Artificial Intelligence-Powered Normative Modeling.

BACKGROUND AND PURPOSE: Fetal ventriculomegaly (VM) is common and largely benign when isolated. Howe...

Feb 2026 40957691
Concordant and Discordant Transcriptomic Signatures of Twin Placentas in the Setting of Preeclampsia.

BACKGROUND: Multifetal pregnancies have increased preeclampsia risk, but the underlying pathogenesis...

Feb 2026 41641529
Conscience, Care, and Code: Moral Theology, AI, and Ethical Decision-Making at the Thresholds of Life.

Healthcare decisions at the beginning and end of life pose enduring moral challenges that are increa...

Feb 2026 41642548
Plasmonic artificial inspector for herbal medicines via surface-enhanced Raman spectroscopy and deep learning.

For the safety monitoring of herbal medicines (HMs), HM inspectors carry out an organoleptic examina...

Feb 2026 41644682
Meconium metabolomic profiling dysregulation and neonatal brain injury in selective fetal growth restriction.

BACKGROUND: Meconium serves as a valuable biological matrix for characterizing fetal metabolic signa...

Feb 2026 41645136
Predicting the usage of seasonal drugs by utilizing advanced machine learning: An albuterol case study.

Manual forecasting of seasonal medication demand results in inefficiencies and labor burden. With th...

Feb 2026 41672814
Interpretable Machine Learning Model Using Digitized US Features for Classifying Complex Thyroid Nodules.

Purpose To develop a digitized integrated feature-based interpretable machine learning classificatio...

Feb 2026 41636619
Accelerating Siloxane-Based Ionizable Lipid Design for LNPs with Data-Efficient Kolmogorov-Arnold Networks.

Ionizable lipids are fundamental to the efficacy of lipid nanoparticles (LNPs) in pivotal areas incl...

Feb 2026 41638226
HappyMums mobile application study protocol: use of a smartphone application to gather data predictive of antenatal depression.

INTRODUCTION: Mobile health (mHealth) technologies have become increasingly popular for monitoring m...

Feb 2026 41638734
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