Obstetrics & Gynecology

A potential supplemental indication of dipyridamole for contraception: Dipyridamole inhibits mouse sperm fertilization capacity in vitro.

The inhibition of sperm cAMP and ATP levels, using an FDA-approved medication, may impair sperm moti...

Comparative analysis of AI models in disseminating genetic counseling knowledge for gynecologic cancers.

An integrated microfluidic and fluorescence platform for probing in vivo neuropharmacology.

Neurotechnologies and genetic tools for dissecting neural circuit functions have advanced rapidly ov...

Prediction of Clavien Dindo Classification ≥ Grade III Complications After Epithelial Ovarian Cancer Surgery Using Machine Learning Methods.

Ovarian cancer surgery requires multiple radical resections with a high risk of complications. The ...

Development and validation of machine learning models for predicting post-cesarean pain and individualized pain management strategies: a multicenter study.

BACKGROUND: Effective management of postoperative pain remains a significant challenge in obstetric ...

Smart MXene-based microrobots for targeted drug delivery and synergistic therapies.

MXenes and their composites exhibit remarkable electrical conductivity, mechanical flexibility, and ...

MDAL: Modality-difference-based active learning for multimodal medical image analysis via contrastive learning and pointwise mutual information.

Multimodal medical images reveal different characteristics of the same anatomy or lesion, offering s...

Integrative Multi-Omics Analysis Reveals Molecular Subtypes of Ovarian Cancer and Constructs Prognostic Models.

Ovarian cancer (OV) remains the most lethal gynecological malignancy. The aim of this study was to i...

Portal dose image prediction using Monte Carlo generated transmission energy fluence maps of dynamic radiotherapy treatment plans: a deep learning approach.

This work aims to develop and investigate the feasibility of a hybrid model combining Monte Carlo (M...

Point-of-care ultrasound in obstetric anesthesia clinical practice.

PURPOSE OF THE REVIEW: Point-of-care ultrasound (POCUS) is increasingly recognized as a valuable too...

Effect of esketamine on the EC of remifentanil for suppression of choking cough during extubation.

Choking cough during awakening from anesthesia is common (15%-94%) and can cause severe discomfort a...

Achieving flexible fairness metrics in federated medical imaging.

The rapid adoption of Artificial Intelligence (AI) in medical imaging raises fairness and privacy co...

CNRein: an evolution-aware deep reinforcement learning algorithm for single-cell DNA copy number calling.

Low-pass single-cell DNA sequencing technologies and algorithmic advancements have enabled haplotype...

A text dataset of fire door defects for pre-delivery inspections of apartments during the construction stage.

Defect classification from text descriptions written by inspectors during the construction stage can...

Open-source deep-learning models for segmentation of normal structures for prostatic and gynecological high-dose-rate brachytherapy: Comparison of architectures.

BACKGROUND: The use of deep learning-based auto-contouring algorithms in various treatment planning ...

FreqYOLO: A uterine disease detection network based on local and global frequency feature learning.

Leiomyomas (LM) and adenomyosis (AM) are common gynecological diseases with high incidence rates and...

Construction and evaluation of machine learning-based prediction model for live birth following fresh embryo transfer in IVF/ICSI patients with polycystic ovary syndrome.

OBJECTIVE: To investigate the determinants affecting live birth outcomes in fresh embryo transfer am...

Predicting high-risk factors for postoperative inadequate analgesia and adverse reactions in cesarean delivery surgery: a prospective study.

BACKGROUND: Early identification of high-risk factors for inadequate analgesia and adverse reactions...

Prediction of IUGR condition at birth by means of CTG recordings and a ResNet model.

OBJECTIVE: Sub-optimal uterine-placental perfusion and fetal nutrition can lead to intrauterine grow...

CausalCervixNet: convolutional neural networks with causal insight (CICNN) in cervical cancer cell classification-leveraging deep learning models for enhanced diagnostic accuracy.

Cervical cancer is a significant global health issue affecting women worldwide, necessitating prompt...

Deep Learning-Based Reconstruction for Accelerated Cervical Spine MRI: Utility in the Evaluation of Myelopathy and Degenerative Diseases.

BACKGROUND AND PURPOSE: Deep learning (DL)-based reconstruction enables improving the quality of MR ...