Obstetrics & Gynecology

Integrating artificial intelligence into drug delivery systems: Formulation development and current challenges.

Artificial intelligence (AI) is increasingly being explored as a supportive tool to address persistent challenges in drug delivery research, particularly those associated with formulation complexity, optimization efficiency, and controlled drug release. While AI applications in drug discovery are well established, their role in drug delivery systems remains less structured and is primarily focused...

Trends in Cleft Palate Incidence in the Era of Prenatal Ultrasonography and Early Detection.

ObjectiveTo evaluate whether temporal changes in prenatal detection and North Carolina abortion rates are associated with live-birth cleft palate (CP ± L) severity phenotypes.DesignRetrospective cohort study linking patient-level clinical data to annual state abortion rates. Analyses included Pearson correlation, multivariable logistic, and interrupted time-series modeling.SettingSingle-center cra...

Impact of nanocarrier mediated drug delivery systems: a deep dive into therapeutics and clinical management of breast cancer.

Breast cancer (BC) is the most frequently diagnosed malignancy and the leading cause of cancer-related death among women worldwide. The therapeutic li...

Deep learning for early detection of Zenker's diverticulum based on swallowing sound analysis.

PURPOSE: Patients with Zenker's diverticulum (ZD) often suffer from oropharyngeal dysphagia that can go undiagnosed for years. Diagnosis of ZD typical...

Dnq-unet: a two-level fusion framework for few-shot domain adaptation in cervical cancer CTV segmentation.

To develop and validate a two-level hierarchical fusion architecture enabling efficient few-shot domain adaptation for cervical cancer clinical target...

Forecasting the Impacts of Artificial Intelligence Assistance in Virtual Consultations for Chronic Obstructive Pulmonary Disease: Exploratory Futures Wheel Study.

BACKGROUND: While digital health technologies promise to reshape the medical journey, their potential might not be realized due to unforeseen implemen...

Early Deployment of an Integrated Digital Platform (shamiriOS) for Scalable Youth Mental Health Service Delivery in Kenya: Development and Usability Study.

BACKGROUND: Scaling youth mental health services in low-resource settings requires digital infrastructure that supports not just clinical delivery but...

Machine learning based prediction of recurrence in oral tongue cancer: a systematic review with quantitative synthesis.

PURPOSE: Oral tongue squamous cell carcinoma (OTSCC) is characterized by aggressive local invasion and a high risk of cervical nodal metastasis and mo...

Radiologist workforce challenges and the burden of image interpretation in Ghana: Perspectives of frontline doctors and implications for healthcare delivery.

Interpreting radiological images, a primary responsibility of radiologists, is crucial for accurate diagnosis and informed clinical decisions. However...

Immune cell delivery platforms for tumor therapy: From empirical approaches to AI-integrated frameworks.

The heterogeneity and immunosuppressive characteristics of the tumor microenvironment present significant challenges to traditional treatment strategi...

Artificial intelligence-driven data expansion for the validation of spinopelvic parameter correlations in asymptomatic subjects.

BACKGROUND: The study of spinopelvic alignment in asymptomatic individuals is essential for understanding physiological sagittal balance and establish...

Predicting knowledge of cervical cancer screening among reproductive-age women in sub-saharan africa using machine learning algorithms.

Sub-Saharan Africa faces twice the incidence and up to fifteen times the fatality rate of cervical cancer compared to developed countries. Screening c...

[A nomogram combining ultrasound radiomics and clinical features for predicting pathological invasiveness of papillary thyroid carcinoma].

OBJECTIVES: To develop a nomogram model combining ultrasound radiomics and clinical features and to evaluate its predictive value for pathological inv...

Molecular Engineering of the Nano-Bio Interface for Programmable and Precision Protein Delivery.

Protein therapeutics offer unparalleled specificity and immediate bioactivity for addressing complex pathologies; however, their vast therapeutic pote...

Guideline Adherence in the Diagnosis of PCOS Among Adolescents: Comparing Obstetricians and Gynecologists With Large Language Models.

STUDY OBJECTIVE: Polycystic ovary syndrome in adolescence is a condition associated with long-term cardiovascular, metabolic, and psychological outcom...

Quality of AI-generated post-operative patient education after minimally invasive gynecologic surgery: A comparative analysis.

STUDY OBJECTIVE: To compare the quality of AI-generated responses to gynecologic post-operative questions with educational materials published by prof...

Prevalence and Predictors of Non-Exclusive Breastfeeding at Hospital Discharge in Uruguay.

BACKGROUND: The prescription of infant formula during postpartum hospitalization is one of several factors that influence breastfeeding. RESEARCH AIMS...

Machine learning-based MRI radiomics identifies patients with degenerative cervical myelopathy and predicts baseline function.

PURPOSE: The diagnosis of Degenerative cervical myelopathy (DCM) relies on clinical evaluation and conventional MRI, yet early symptoms are subtle and...

AI-driven text mining of the female reproductive system: enabling multiscale biomedical modeling and personalized medicine.

The female reproductive system, including the endometrium, placenta, ovary, cervix, and fallopian tube, plays a critical role in conception, implantat...

Optimizing cervical breath sound acquisition protocol in dysphagia patients: an orthogonal experimental study.

BACKGROUND: Dysphagia is a highly prevalent condition among patients with stroke. Cervical auscultation serves as a crucial screening method for dysph...