Obstetrics & Gynecology

Understanding how language barriers in the paediatric emergency care setting influences safety of care delivery: a scoping review.

BACKGROUND: Communication in a family's primary language can support safe care. Vital steps within the care delivery process are contingent on successful communication, including reporting symptoms, clinical decision-making, informed consent, discharge communication and follow-up coordination. The importance of effective information exchange is particularly pronounced in paediatric emergency care,...

Deciphering the potential pathogenic mechanisms of 3-BHA in ovarian cancer through integrated bioinformatics and machine learning strategies.

Ovarian cancer (OC) remains a malignancy characterized by obscure risk factors and unfavorable prognosis. While 3-tert-butyl-4-hydroxyanisole (3-BHA) is suspected of exerting toxic effects on ovarian health, the precise molecular mechanisms underlying its impact remain elucidated. This study aims to systematically investigate the potential pathogenic mechanisms of 3-BHA in the progression of OC.In...

Fusion attention-based nasopharyngeal carcinoma segmentation model in predicting the clinical outcome of cervical lymph node residue after IMRT.

BACKGROUND: Deep learning methods have made great progress in the automatic segmentation of nasopharyngeal carcinoma, but challenges remain. PURPOSE: ...

Enhancing corporate bankruptcy prediction and customer relationship sustainability through CNN-based financial feature transformation.

Corporate bankruptcy prediction is essential for assessing companies' capacity to maintain sustainable customer relationships and service quality. Thi...

Diagnostic performance of artificial intelligence for identification of cervical spine fractures: a systematic review and meta-analysis.

PURPOSE: This meta-analysis aimed to evaluate how effectively artificial intelligence (AI) models can diagnose cervical spine fractures. METHODS: A sy...

A Bilingual AI-Based Chatbot for Nutrition Education in a Food Is Medicine Intervention for High-Risk Pregnant Women: Design and Development Study.

BACKGROUND: Conversational agents (artificial intelligence [AI]-based chatbots) offer a novel approach to health interventions by providing personaliz...

A machine learning framework combining cfDNA fragmentomics and serum biomarkers for early ovarian cancer detection.

BACKGROUND: Ovarian cancer (OC) is a leading cause of cancer-related mortality in women, largely due to the lack of effective strategies for early det...

Two-staged CT-based radiomics model in characterising early-stage ovarian carcinoma and benign ovarian masses.

BACKGROUND: Characterisation of CT detected ovarian masses is challenging with overlapping imaging features, unreliable biomarker or clinical presenta...

Evaluation of the accuracy and readability of large language model responses on menopause and hormone therapy.

OBJECTIVE: Generative artificial intelligence is rapidly evolving and is now being explored in health care to support patient and clinician education....

Deciphering the predictors of endometrial nonbenign lesions in asymptomatic postmenopausal women via explainable machine learning.

OBJECTIVES: Timely identification of endometrial nonbenign lesions led to improved outcomes, but there was a lack of effective predictive models for a...

Fingerprints Encode Risk for Bipolarity.

BACKGROUND: Fingerprint patterns are developed during pregnancy and share a common embryogenic origin with the central nervous system. Considering the...

Multiparametric MRI-based Deep Learning and Radiomics for Evaluating Lymph Node Metastasis in Early-Stage Cervical Cancer.

Purpose To develop a multiparametric MRI-based radiomics model and deep learning-radiomics (DLR) fusion model for preoperative prediction of lymph nod...

Effects of Different Exercise-Led Strategies on Mental, Nutritional, Physical and Cognitive Health in Community-Dwelling Older Adults: A Quasi-Experimental Study.

INTRODUCTION: Exercise interventions are widely used to promote physical and psychosocial health in community-dwelling older adults; however, the comp...

The minimally invasive gynecology in the AI era.

Segmentation of uterus and myoma from MRI image based on deep learning.

OBJECTIVE: Myoma is a common gynecologic condition with abnormal muscular and fibrotic tissue growth in the uterus. Compared with sonography, magnetic...

A Triage Model for HR-HPV Positive Women Based on Methylation of Human and HPV Genes.

The aim of this study is to develop a machine learning triage model for HR-HPV positive women based on methylation patterns of human and HPV genes to ...

Medical hierarchical image classification via dual-geometry image-text learning.

Hierarchical image classification is a fundamental challenge in medical image analysis, as tree-structured taxonomies inherently reflect biological an...

Bridging the Gap Between Artificial Intelligence and Clinical Readiness in Endometriosis Diagnosis: A Systematic Review.

OBJECTIVE: To systematically evaluate the methodological quality and diagnostic performance of artificial intelligence (AI) applications, specifically...

Computational and machine learning approach for nanoparticle-enhanced bio-heat transport with coupled effects of interparticle spacing and nanoparticles radius.

Targeted delivery of drugs and hyperthermia in cardiovascular disease demand the accurate delivery of nanoparticles in complex arterial geometries. Th...

Multi-scale evidence chain: Linking environmental BPA exposure to ovarian cancer through integrated omics and experimental models.

BACKGROUND: Ovarian cancer (OC) is a leading cause of female cancer mortality. Beyond genetic and reproductive risk factors, emerging evidence suggest...