Obstetrics & Gynecology

Pregnancy

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

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An AI method to predict pregnancy loss by extracting biological indicators from embryo ultrasound recordings in early pregnancy.

B-ultrasound results are widely used in early pregnancy loss (EPL) prediction, but there are inevita...

Challenges and Opportunities in the Application of CRISPR-Cas9: A Review on Genomic Editing and Therapeutic Potentials.

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and the CRISPR-associated protein...

Comparative study of 2D vs. 3D AI-enhanced ultrasound for fetal crown-rump length evaluation in the first trimester.

BACKGROUND: Accurate fetal growth evaluation is crucial for monitoring fetal health, with crown-rump...

Fetal-Net: enhancing Maternal-Fetal ultrasound interpretation through Multi-Scale convolutional neural networks and Transformers.

Ultrasound imaging plays an important role in fetal growth and maternal-fetal health evaluation, but...

3D isotropic high-resolution fetal brain MRI reconstruction from motion corrupted thick data based on physical-informed unsupervised learning.

High-quality 3D fetal brain MRI reconstruction from motion-corrupted 2D slices is crucial for precis...

Placenta segmentation redefined: review of deep learning integration of magnetic resonance imaging and ultrasound imaging.

Placental segmentation is critical for the quantitative analysis of prenatal imaging applications. H...

Exploring novel molecular mechanisms underlying recurrent pregnancy loss in decidual tissues.

Recurrent pregnancy loss (RPL), which affects approximately 2.5% of reproductive-aged women, remains...

Acousto-Electric Conversion Fiber Networks via Regional Activation of Schwann Cell-Derived Exosomes for Neurogenic Bone Regeneration.

Neurogenic bone regeneration is essential for the effective restoration of bone tissue functionality...

The evolution of prenatal Whole Exome Sequencing: from cytogenetics to precision medicine.

Prenatal genetic diagnostics have undergone a remarkable transformation, progressing from early cyto...

Evolving role of point-of-care ultrasound in prehospital emergency care: a narrative review.

Point-of-care ultrasound is an emerging technology in prehospital emergency care, covering a wide ra...

Closed-loop transcranial ultrasound stimulation based on deep learning effectively suppresses epileptic seizures in mice.

Transcranial ultrasound stimulation is a non-invasive neuromodulation technique characterized by its...

Prediction of spontaneous preterm birth in pregnant women using machine learning.

PURPOSE: Spontaneous preterm birth (sPTB) is a significant global health concern, contributing to ad...

Picoeukaryote-based biohybrid microrobots for active delivery in the kidney.

Confined spaces in the human body pose substantial challenges for biomedical procedures. Navigating ...

Deformable detection transformers for domain adaptable ultrasound localization microscopy with robustness to point spread function variations.

Super-resolution imaging has emerged as a rapidly advancing field in diagnostic ultrasound. Ultrasou...

A formulation dataset of poly(lactide-co-glycolide) nanoparticles for small molecule delivery.

Poly(lactide-co-glycolide) (PLGA) nanoparticles are promising drug delivery systems, widely recogniz...

Multiparametric ultrasound techniques are superior to AI-assisted ultrasound for assessment of solid thyroid nodules: a prospective study.

OBJECTIVES: To evaluate the diagnostic performance of multiparametric ultrasound (mpUS) and AI-assis...

BIScreener: enhancing breast cancer ultrasound diagnosis through integrated deep learning with interpretability.

Breast cancer is the leading cause of death among women worldwide, and early detection through the s...

Predicting the sonication energy for focused ultrasound surgery treatment of breast fibroadenomas using machine learning algorithms.

PURPOSE: To establish a predictive model for the sonication energy required for focused ultrasound s...

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