Obstetrics & Gynecology

A deep-learning-based early warning system for abnormal eye conditions in chickens.

In current poultry production practice, farmers are required to frequently enter their poultry houses and visually inspect their chickens to assess flock health. This practice is not only time-consuming and labor-intensive but also increases the risk of introducing contaminants into poultry houses and increasing disease transmission. In Taiwan, a typical poultry house houses approximately 15,000-2...

Performance of next-generation AI chatbots in gynecological knowledge assessment: a comparative pilot study of ChatGPT-5, Gemini-3, DeepSeek-V3.2, and Claude-4.5-Opus.

PURPOSE: As artificial intelligence (AI) models evolve into their next generations, their application in specialized medical fields requires rigorous validation. While large language models (LLMs) have shown promise in general medicine, their reliability in complex gynecological clinical reasoning remains under-explored. This pilot study aimed to comparatively assess the knowledge retention, safet...

Artificial intelligence in preterm birth prediction: a narrative review of current approaches and clinical applicability.

Preterm birth remains the leading cause of neonatal morbidity and mortality worldwide, affecting approximately 13.4 million births annually. Despite a...

Integrating cervical vertebral maturation and spheno-occipital synchondrosis on CT: a non-linear framework for probabilistic age estimation.

The aim of this study was to compare the developmental timing and variability of cervical vertebral maturation (C2–C4) and spheno-occipital synchondro...

Artificial Intelligence Integration in Radiation Therapy Education: A Multi-Modal Approach.

INTRODUCTION: Critical workforce shortages in radiation oncology have led tertiary institutions to rapidly expand their radiation therapy (RT) student...

Minimally invasive surgery for advanced-stage ovarian cancer: a review of evidence and emerging paradigms.

Minimally invasive surgery has emerged as a promising approach to the management of advanced-stage epithelial ovarian cancer, particularly in the sett...

ARIMA-based forecasting of cerebral physiologic signals in acute traumatic brain injury: a CAnadian high-resolution TBI (CAHR-TBI) cohort study.

BACKGROUND: Traumatic brain injury (TBI) remains a major global health issue, with limited progress in reducing morbidity and mortality for TBI patien...

Redefining Cytotechnologist Practice in Sweden: National Survey on Workload, Expanded Roles, and Future Competency Needs.

INTRODUCTION: Cytotechnologists have long been central to cervical cancer screening, although their education and job responsibilities differ markedly...

Deep learning-based labor relations prediction system with multi-source data fusion and early warning mechanisms.

Predicting workplace conflicts before they escalate into formal disputes or collective action represents a persistent challenge in organizational mana...

Nano-antimicrobial peptides (Nano-AMPs) to combat resistant gram-negative bacteria.

The emergence of antimicrobial resistance (AMR) poses a critical threat to public health worldwide, making conventional antibiotics ineffective agains...

Machine learning-based integration of antiphospholipid antibodies for predicting pregnancy outcomes in patients with recurrent spontaneous abortion: a multicenter prospective study.

OBJECTIVES: Antiphospholipid antibodies (aPLs) are closely associated with recurrent spontaneous abortion (RSA) and adverse pregnancy outcomes (POs). ...

Sustainable Strategies in Tuberculosis Management: Bridging Ethnobotanical Pharmacology, Advanced Drug Delivery, and AI-Driven Innovation.

Tuberculosis (TB) persists as a leading infectious disease, with progress in global control complicated by emerging drug resistance, limited access to...

Transformer-based multidimensional feature fusion for accurate prediction of lipid nanoparticles transfection efficiency.

RNA-based technologies have demonstrated significant potential for diverse applications, ranging from vaccination to gene editing. However, their wide...

Evaluation of the Effectiveness of an AI-assisted, Dual-Template Workflow in Improving the Accuracy of Tooth Autotransplantation.

OBJECTIVE: To test whether an AI-assisted, dual-template workflow improves plan-delivery accuracy in tooth autotransplantation versus a replica-only f...

Exosome-enabled bone defect repair: mechanistic foundations, bioengineered delivery, and artificial intelligence-driven translation.

Bone defects remain a substantial clinical burden. Exosomes have been extensively investigated as cell-free therapeutic candidates, exhibiting favorab...

Advanced Drug Delivery Strategies for Overcoming Biological Barriers: Tumor Microenvironment and Blood-Brain Barrier.

Therapeutic efficacy for malignancies and neurological disorders is fundamentally restricted by biological barriers, particularly the complex tumor mi...

Versatile Backdoor Attack With Visible, Semantic, Sample-Specific and Compatible Triggers.

Deep neural networks (DNNs) can be manipulated to exhibit specific behaviors when exposed to specific trigger patterns, without affecting their perfor...

Leveraging artificial intelligence to decipher gynecologic cytopathology reports: Insights from an exploratory study for possible use in patient portals.

BACKGROUND: The 21st Century Cures Act allows patients to have immediate access to their medical records. However, it is documented that health litera...

Evaluating Performance of a Deep Learning-based Artificial Intelligence Model for Ovarian Tumor Classification Using a Multicenter CT Dataset.

Purpose To develop a deep learning-based, computer-aided diagnosis (CADx) model for preoperative classification of ovarian tumors (OTs) on CT scans an...

Modeling Polymeric Drug Release: The Emerging Role of Machine Learning.

Polymeric drug formulations have significantly improved the safety, efficacy, and clinical impact of many therapies. A persistent challenge for formul...