Obstetrics & Gynecology

Multimodal AI for automated resuscitation debriefing: Feasibility of timeline reconstruction using commercially available tools.

WHAT WAS THE EDUCATIONAL CHALLENGE?: Resuscitation debriefing requires accurate timeline reconstruction for effective team learning. Standard documentation captures medications and interventions but lacks granular communication patterns, team dynamics, and teachable moments essential for educational debriefing. Video review addresses this gap but requires extensive manual annotation, limiting scal...

Increased cervical spinal cord signal intensity corresponds to specific cerebellar and cerebral functional changes in degenerative cervical myelopathy patients.

Increased signal intensity (ISI) on T2-weighted cervical MR is common in patients with degenerative cervical myelopathy (DCM). However, the subtype-specific brain mechanisms for different ISI types remain unclear. The current study aimed to investigate the subtype-specific brain mechanisms associated with different types of ISI and their impact on the prognosis of DCM patients. ISI types were iden...

Lipid Nanoparticle Development in Practice: Challenges and Collective Insights.

Lipid nanoparticles (LNPs) have emerged as a versatile delivery platform for improving pharmacokinetic performance, protecting nucleic acid cargo, and...

Nanotechnology and machine learning synergies for improving the bioavailability and functional efficacy of dietary polyphenols.

Dietary polyphenols exhibit diverse bioactivities, but their clinical application is limited by poor bioavailability due to low solubility, rapid meta...

Artificial intelligence and machine learning driven nanorobotics for targeted brain delivery: Redefining blood-brain barrier navigation.

The blood-brain barrier (BBB) plays a central role in preserving central nervous system (CNS) homeostasis, and its dysfunction is implicated in variou...

The role of the kynurenine pathway in the pathophysiology of autism-like phenotype induced by maternal inflammation in male mice.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with core symptoms that may include deficits in communication, social challenges, and ...

Immune Predictors of Radiotherapy Outcomes in Cervical Cancer.

The immune microenvironment influences the sensitivity of patients to radiotherapy (RT), yet determinants of therapeutic resistance remain elusive. Th...

Proteomic profiling of single extracellular vesicles as a promising new approach for the diagnosis and treatment modality of advanced ovarian cancer.

This study utilized a novel Proximity Barcoding Assay to perform high-resolution proteomic profiling of individual plasma extracellular vesicles from ...

A P4HA2 hypoxia signature derived from single cell atlas stratifies conserved subtypes with prognostic significance in cervical squamous cell carcinoma.

Towards robust deep learning-based autosegmentation in MRI-planned gynecological brachytherapy: Importance of scalable development and comprehensive evaluation.

PURPOSE: To present comprehensive development and evaluation methodologies for a generalizable deep learning (DL)-driven autocontouring model of stand...

cervical nuclei segmentation through synergic conditional generative adversarial network in cervical smear images.

Cervical nuclei segmentation is critical for the early detection and accurate diagnosis of cervical cancer. However, this task is challenging due to t...

The role of artificial intelligence in obstetrics and gynecology: Innovations, challenges, and opportunities explored through a bibliometric analysis.

OBJECTIVE: Artificial intelligence (AI) applications have garnered increasing interest in obstetrics and gynecology. This study aims to analyze the ev...

UniCAS: A foundation model for cervical cytology screening.

Cervical abnormality screening is pivotal for prevention and treatment. However, the substantial size of whole slide images (WSIs) makes examination l...

Therapeutic nanofibrous scaffolds in precision drug delivery: formulation design, challenges and regulatory frameworks.

INTRODUCTION: Drug-loaded nanofibrous systems represent a breakthrough in drug delivery, overcoming limitations of conventional formulations. They dem...

Automated 3D segmentation of human vagus nerve fascicles and epineurium from micro-computed tomography images using anatomy-aware neural networks.

Objective.Precise segmentation and quantification of nerve morphology from imaging data are critical for designing effective and selective peripheral ...

Biofabrication of 3D bioprinted and organ-on-chip blood-brain barrier models using hCMEC/D3 for intranasal delivery of central nervous system therapeutics.

The BBB remains a major obstacle to effective treatment of CNS disorders by limiting the entry of most therapeutics into the brain. The hCMEC/D3 is wi...

[Enhancement of radiomics-based machine learning models for predicting efficacy of high-intensity focused ultrasound ablation of uterine fibroids using undersampling methods].

OBJECTIVES: To improve the accuracy of machine learning models for preoperative prediction of high-intensity focused ultrasound (HIFU) ablation effica...

A clinical-radiomics nomogram based on multisequence MRI for predicting intraoperative vertebral artery injury in patients with primary cervical spine tumor: a diagnostic study.

BACKGROUND: Currently, reliable preoperative methods for predicting vertebral artery (VA) invasion are lacking. The authors develop a novel model base...

Iron Oxide-Based Surface-Enhanced Raman Spectroscopy Bioprobes for Detecting Tumor Cells in Serous Effusion.

Serous effusions, including pleural effusion and ascites, commonly occur in advanced cancers like lung and ovarian carcinomas. Detecting tumor cells i...

First trimester prediction of gestational diabetes mellitus by machine learning in twin pregnancies.

INTRODUCTION: We aimed to develop a machine learning model for first-trimester prediction of gestational diabetes mellitus (GDM) in twin pregnancies u...