Obstetrics & Gynecology

Comparison of externally validated interpretable machine-learning model with the United States Preventive Services Task Force approach to pre-eclampsia risk assessment.

Prenatal exposure to criteria air pollution and traffic-related air toxics and risk of autism spectrum disorder: A population-based cohort study of California births (1990-2018).

BACKGROUND: Autism spectrum disorder (ASD) prevalence has risen steadily in California (CA) over sev...

Advances in viral vector-based delivery systems for gene therapy: a comprehensive review.

Gene therapy offers a revolutionary approach for treating genetic and acquired disorders by deliveri...

Computer-aided drug discovery of a dual-target inhibitor for ovarian cancer: therapeutic intervention targeting CDK1/TTK signaling pathway and structural insights in the NCI-60.

Ovarian cancer remains the third most prevalent and deadliest gynecologic malignancy worldwide, with...

SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images.

Quality control (QC) of structures segmentation in volumetric medical images is important for identi...

AI-driven simplification of surgical reports in gynecologic oncology: A potential tool for patient education.

INTRODUCTION: The emergence of large language models heralds a new chapter in natural language proce...

Extracellular vesicles as nature's nano carriers in cancer therapy: Insights toward preclinical studies and clinical applications.

Extracellular vesicles (EVs), which are secreted by various cell types, hold significant potential f...

Deep Learning Model for Real-Time Nuchal Translucency Assessment at Prenatal US.

Purpose To develop and evaluate an artificial intelligence-based model for real-time nuchal transluc...

Radiomics analysis of intraoral ultrasonographic images for prediction of late cervical lymph node metastasis in patients with tongue cancer: influence of marginal region.

OBJECTIVES: To investigate the predictability of late cervical lymph node metastasis using radiomics...

Quantitative and qualitative metrics of tumor stroma in predicting ovarian cancer outcomes and expansion of its study with AI-based tools.

Epithelial ovarian cancer remains one of the deadliest gynecologic malignancies, with late-stage dia...

Imaging-Based AI for Predicting Lymphovascular Space Invasion in Cervical Cancer: Systematic Review and Meta-Analysis.

BACKGROUND: The role of artificial intelligence (AI) in enhancing the accuracy of lymphovascular spa...

Nanotechnology-Enhanced siRNA Delivery: Revolutionizing Cancer Therapy.

RNA interference (RNAi) has emerged as a transformative approach for cancer therapy, enabling precis...

Machine learning-guided fabrication of carbon dot-pepsin nano-conjugates for enhanced bioimaging, synergistic drug delivery, and visible light-induced photosensitization.

Carbon dots (CDs) are emerging as next-generation bioimaging agents due to their strong fluorescence...

Revolution of AAV in Drug Discovery: From Delivery System to Clinical Application.

Adeno-associated virus (AAV) is a non-enveloped DNA virus infecting a wide variety of species, tissu...

Exploring therapeutic and diagnostic potential of cysteine cathepsin as targets for cancer therapy with nanomedicine.

Cysteine cathepsins have been discovered to be substantially expressed in multiple types of cancer. ...

Implementing 100% quality control in a cervical cytology workflow using whole slide images and artificial intelligence provided by the Techcyte SureView™ System.

BACKGROUND: Recent advancements in digital pathology have extended into cytopathology. Laboratories ...

Stratifying Risk for Postpartum Depression at Time of Hospital Discharge.

OBJECTIVE: Postpartum depression (PPD) is a major contributor to postpartum morbidity and mortality....

Exploring the link between grandmaternal air pollution exposure and Grandchild's ASD risk: A multigenerational population-based study in California.

BACKGROUND: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder with increasing prevalen...

Developmental toxicity: artificial intelligence-powered assessments.

Regulatory agencies require comprehensive toxicity testing for prenatal drug exposure, including new...

Predicting Placenta Accreta Spectrum Disorder Through Machine Learning Using Metabolomic and Lipidomic Profiling and Clinical Characteristics.

OBJECTIVE: To perform metabolomic and lipidomic profiling with plasma samples from patients with pla...

Artificial Intelligence (AI) and The Journal of Pediatric and Adolescent Gynecology (JPAG).