Obstetrics & Gynecology

Novel Inflammatory Biomarkers for Poor Ovarian Response Detected by Follicular Fluid Olink Proteomics.

Although inflammatory and immune mechanisms are known to play a crucial role in the pathogenesis of poor ovarian response (POR), their specific functions remain unclear. This study aimed to compare inflammatory proteins in the follicular fluid of POR patients and those with normal ovarian reserve using Olink proteomics to identify differentially expressed proteins (DEPs) and their related pathways...

AI-enabled precision reproductive medicine: a comprehensive review of clinical applications, decision frameworks, and evidence-based implementation.

Infertility represents a growing global health challenge, intensifying the demand for advanced assisted reproductive technology (ART). Artificial intelligence (AI) is emerging as a transformative force in reproductive medicine, offering novel solutions to augment clinical success and optimize patient-centered care. This review comprehensively synthesizes AI advancements across the continuum of ART...

Identification of key predictors of postmenopausal osteoporosis from routine clinical indicators using explainable machine learning.

BACKGROUND: Machine learning (ML) shows promise in using clinical data to predict chronic diseases. However, its application in PMOP risk assessment u...

Single-model deep learning approach for simultaneous cervical vertebral maturation staging and skeletal jaw relationship on lateral cephalograms using YOLOv8 and CNN.

BACKGROUND: This study aimed to develop an integrated artificial intelligence (AI) pipeline for cervical vertebral maturation (CVM) staging and skelet...

Genetically engineered outer membrane vesicles as next-generation bionanomaterials for therapeutic and diagnostic applications.

Outer membrane vesicles (OMVs), naturally released by Gram-negative bacteria, represent a unique class of bionanomaterials with inherent immunogenicit...

Artificial Intelligence-Driven MRI for Cervical Nodal Metastasis Detection in Oral Squamous Cell Carcinoma: A Hierarchical Meta-Analysis of Diagnostic Accuracy.

BACKGROUND: Artificial intelligence (AI) applied to magnetic resonance imaging (MRI) may improve detection of cervical lymph node metastases in oral s...

Integrated bioinformatics, machine learning, and experimental validation identify a four-gene diagnostic signature for cervical cancer associated with PI3K/AKT signaling.

Early and accurate diagnosis remains a major challenge in cervical cancer management. This study aimed to identify reliable diagnostic biomarkers for ...

Single-cell RNA sequencing in ovarian cancer: decoding the tumor microenvironment for personalized therapy.

Ovarian cancer (OC) remains a leading cause of mortality among gynecological malignancies, largely due to profound inter- and intra-tumoral heterogene...

Development and Validation of Machine-Learning-Based Prediction Models for Thyroid Diseases During Pregnancy.

BACKGROUND International guidelines recommend early screening based on targeted risk factors to identify thyroid disease during pregnancy. The complex...

Effects of breast cancer risk factors on the tumor microenvironment: a morphological deep-learning analysis of three prospective cohorts.

Emerging evidence suggests a critical role of the tumor microenvironment (TME) in breast cancer (BC) development and outcomes, yet factors that modify...

An intelligent MRI-based all-in-one diagnostic strategy for axillary lymph node status in breast cancer.

An integrated diagnostic strategy of preoperative identification of sentinel lymph node (SLN) metastasis, SLN metastatic burden, and non-SLN (NSLN) me...

A bibliometric analysis of artificial intelligence in ovarian cancer research from 2006 to 2025.

BACKGROUND: Ovarian cancer is a gynecological malignancy associated with high mortality and poses significant clinical challenges in early diagnosis a...

Deep learning for intraoperative recognition of critical structures in total hysterectomy.

BACKGROUND: This study aimed to develop and evaluate a deep learning-based surgical navigation system capable of recognizing the ureter, uterine arter...

AI as a Sparring Partner in Professional Settings: Counselors' Views on ChatGPT's Role and Potential in Pregnancy Termination Counseling.

The spread of generative artificial intelligence and large language model technologies, such as ChatGPT, has sparked interest in their applicability a...

Rational design of active pharmaceutical ingredient-based co-assembled nanoparticles for cancer immunotherapy.

Combination strategy is crucial for enhancing cancer therapeutic efficacy, but co-delivery of multiple active pharmaceutical ingredients (APIs) remain...

Path beyond the blind end-unravel the imaging spectrum of appendiceal pathologies.

The appendix is involved in a diverse spectrum of inflammatory, infectious, benign, and malignant conditions that extend far beyond acute appendicitis...

Development and multi-institutional validation of a deep learning algorithm for predicting cervical cord compression using dynamic cervical lateral radiographs.

Although magnetic resonance imaging (MRI) is the gold standard for diagnosing degenerative cervical myelopathy (DCM), its cost and limited availabilit...

Treatment-aware deep learning enables counterfactual prediction of individual benefit from PARP inhibitors in ovarian cancer.

Homologous recombination deficiency (HRD) assays are used to select patients with ovarian cancer for PARP inhibitors, but they do not fully capture th...

Stem cell-derived extracellular vesicles for rare diseases: A clinical‑bottleneck‑to‑mechanism framework for translation.

Rare diseases impose a disproportionate clinical burden, and yet therapeutic progress is hindered by small cohorts, biological heterogeneity, and limi...

Gene delivery for cerebral neurodegenerative disorders - current advancements and limitations.

Gene delivery for neurodegenerative cerebral disorders faces formidable structural and practical challenges. The blood-brain, blood- cerebrospinal flu...