Obstetrics & Gynecology

Small-bowel capsule endoscopy - from clinic to couch: time to go green?

PURPOSE OF REVIEW: Small-bowel capsule endoscopy (SBCE) has transformed small-intestine diagnostics by enabling direct, noninvasive mucosal visualization. As healthcare systems increasingly prioritize value-based and sustainable care, this review explores recent advances in SBCE, focusing on home-delivery models, telemedicine, artificial intelligence (AI), and environmental impact. RECENT FINDINGS...

Radiomics analysis of MRI improves prediction of lymph node metastasis in laryngeal squamous cell carcinoma.

OBJECTIVE: To explore the role of multi-sequence magnetic resonance imaging (MRI) images in preoperative prediction of lymph node metastasis in laryngeal squamous cell carcinoma (LSCC). METHODS: Patients with LSCC undergoing open surgery and lymph node dissection were enrolled (n = 224 training, n = 96 testing). Radiomic features (n = 2394) were extracted from T1-enhanced and T2-weighted images. F...

Artificial intelligence and machine learning based predictive analytics in cervical myelopathy - a scoping review.

Hydrogel-enabled drug delivery for ulcerative colitis.

Ulcerative colitis (UC) represents a chronic, relapsing inflammatory condition primarily affecting the colonic and rectal mucosa, presenting substanti...

The application of Machine learning in predicting the outcomes of minimally invasive treatments for uterine Fibroids: A systematic review and meta-analysis.

RATIONALE AND OBJECTIVES: Uterine fibroids (UFs) are common benign tumors that impact women's health, particularly through symptoms such as abnormal b...

Early detection of female-specific cancers using longitudinal healthcare records with a multichannel convolutional neural network.

OBJECTIVES: Female-specific cancers, including breast, ovarian, cervical and uterine malignancies, lack comprehensive early detection approaches, part...

Early Maturation of Heart Rate Variability in Very Preterm Infants Depends on Neonatal Factors and Is Associated With Neurodevelopmental Risk.

AIM: This study investigated central autonomic network maturation deviations using a previously defined machine learning model set to estimate a funct...

Digital Transformation in Clinical Genetics: A Concept Analysis.

Using technology to radically improve performance or the influence of business, known as digital transformation, could reshape health care by making c...

Translating human capital amid varying intentions to stay: An integrative conceptual review of the immigrant employment attainment process.

Immigrants face a unique challenge in translating their home country human capital to secure employment in their host country's labor market, potentia...

Tumor stroma ratio-based radiomics model for predicting platinum resistance and prognosis in epithelial ovarian cancer.

Artificial intelligence and predictive analytics in obstetric anesthesia: early warning for maternal complications.

PURPOSE OF REVIEW: Maternal morbidity and mortality remain largely preventable, yet current risk-assessment tools identify only a fraction of women wh...

Lactylation-based machine algorithm combined with multi-omics analysis to predict prognosis in cervical cancer.

Although lactylation has been investigated in cancer biology, its mechanistic role in cervical cancer remains unclear. This study integrated RNA-seque...

Machine learning-based prediction of long-term prognosis in cervical adenocarcinoma: a retrospective cohort study.

Establishment of insulin resistance-related ten-gene signature in endometrial cancer and identification of ACTL8 as a prognostic and immunological biomarker.

BACKGROUND: Endometrial cancer (EC) is a common gynecological tumor. Insulin resistance (IR) increases the risk of EC. However, the common molecular b...

A Comprehensive Approach to Days' Supply Estimation in a Real-World Prescription Database: Algorithm Development and Validation Study.

BACKGROUND: For accurate medication usage statistics and medication adherence calculations, we need to have an accurate days' supply (DS) for each pre...

Heterogeneous graph neural networks reveal molecular mechanisms of folate deficiency in placental insufficiency through multiomics integration.

Placental insufficiency affects five to ten% of pregnancies worldwide, and folate deficiency has emerged as a key contributing factor. The molecular p...

A Review on AI-Based Data-Driven Models for Optimization of Nanocarriers as Drug Delivery Systems.

Artificial intelligence (AI), primarily machine learning (ML), has revolutionized as a transformative strategy to accelerate nanomedicine research and...

Evaluation of KU-F40 automated microscope for parasitology: when artificial intelligence meets old school microscopy.

Intestinal parasitic infections (IPIs) have a worldwide distribution and have a major impact on health, work capacity, and economy in many countries. ...

HLA-DPA1 as a diagnostic biomarker differentiating early- and late-onset preeclampsia.

The occurrence and development of a wide range of preeclampsia (PE), especially early-onset preeclampsia (EOPE), is closely associated with the immune...

Use of uterine activity to predict preterm birth by artificial intelligence assisted models: a narrative systematic review.

OBJECTIVE: The benefit of interventions to improve neonatal outcomes of preterm birth (PTB) must be balanced with the associated fetal and maternal ri...