Obstetrics & Gynecology

Pregnancy

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

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CycleULM: A unified label-free deep learning framework for ultrasound localisation microscopy

Super-resolution ultrasound via microbubble (MB) localisation and tracking, also known as ultrasound...

OSCAR: Occupancy-based Shape Completion via Acoustic Neural Implicit Representations

Accurate 3D reconstruction of vertebral anatomy from ultrasound is important for guiding minimally i...

Artificial Intelligence for Detecting Fetal Orofacial Clefts and Advancing Medical Education

Orofacial clefts are among the most common congenital craniofacial abnormalities, yet accurate prena...

Streak-Aware Localization Microscopy Enables High-Throughput Brain Imaging Across Platforms

Optical, ultrasound, and optoacoustic localization microscopy based on microparticle tracking has en...

Predicting how perturbations reshape cellular trajectories with PerturbGen

A major challenge in biology is predicting how cells transition between states over time and how per...

Exposomics for childhood asthma

Identification of early interventions to reduce/eliminate asthma - the most common chronic disease a...

Evaluating Few-Shot Meta-Learning using STUNT for Microbiome-Based Disease Classification

The human gut microbiome is increasingly explored as a diagnostic indicator for disease, yet machine...

Intelligent Pathological Diagnosis of Gestational Trophoblastic Diseases via Visual-Language Deep Learning Model

The pathological diagnosis of gestational trophoblastic disease(GTD) takes a long time, relies heavi...

Aligning Fetal Anatomy with Kinematic Tree Log-Euclidean PolyRigid Transforms

Automated analysis of articulated bodies is crucial in medical imaging. Existing surface-based model...

Applying AI models to digital placental photographs to automate and improve morphology assessments

Background: Placental growth and function are imperative for healthy fetal growth; data on placentas...

A clinical decision making model for NTSV deliveries

Objective: To evaluate modifiable antepartum and intrapartum factors associated with nulliparous, te...

VascFlexMap: Microvascular Ultrasound Imaging at Low Frame Rates Using Sparse Data and a Transformer-Decoder Network

Objective: Superresolution ultrasound (SR US) reveals microvascular structures with exquisite resolu...

ConVibNet: Needle Detection during Continuous Insertion via Frequency-Inspired Features

Purpose: Ultrasound-guided needle interventions are widely used in clinical practice, but their succ...

IRSDE-Despeckle: A Physics-Grounded Diffusion Model for Generalizable Ultrasound Despeckling

Ultrasound imaging is widely used for real-time, noninvasive diagnosis, but speckle and related arti...

Adversarial Robustness of Deep Learning-Based Thyroid Nodule Segmentation in Ultrasound

Introduction: Deep learning-based segmentation models are increasingly integrated into clinical imag...

Mask-HybridGNet: Graph-based segmentation with emergent anatomical correspondence from pixel-level supervision

Graph-based medical image segmentation represents anatomical structures using boundary graphs, provi...

US-JEPA: A Joint Embedding Predictive Architecture for Medical Ultrasound

Ultrasound (US) imaging poses unique challenges for representation learning due to its inherently no...

The Sound of Death: Deep Learning Reveals Vascular Damage from Carotid Ultrasound

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, yet early risk detec...

Life-course comorbidity patterns and integrated prediction of postpartum depression, multimorbidity, and symptom progression

Perinatal depression (PD) is common and disabling, yet its longitudinal comorbidity patterns and pre...

Benchmarking Self-Supervised Models for Cardiac Ultrasound View Classification

Reliable interpretation of cardiac ultrasound images is essential for accurate clinical diagnosis an...

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