Obstetrics & Gynecology

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Bioinformatics analysis of Rho-signal transduction genes in postmenopausal osteoporosis and periodontitis.

Postmenopausal osteoporosis (PMOP) increases the risk of periodontitis (PD), yet the shared mechanis...

Advancing sociotechnical systems theory: New principles for human-robot team design and development.

This paper reviews and adapts sociotechnical systems (STS) principles for the design and development...

Deep learning-driven incidental detection of vertebral fractures in cancer patients: advancing diagnostic precision and clinical management.

PURPOSE: Vertebral compression fractures (VCFs) are the most prevalent skeletal manifestations of os...

Artificial Intelligence in digital pathology of breast cancer, new era of practice?

Breast cancer is the most common cancers among women worldwide. Early diagnosis and personalized med...

Osteoarthritis progression pattern based on patient specific characteristics using machine learning.

This study aimed to identify key factors associated with different progression patterns of early ost...

Opportunistic computed tomography (CT) assessment of osteoporosis in patients undergoing transcatheter aortic valve replacement (TAVR).

UNLABELLED: CT-based opportunistic screening using artificial intelligence finds a high prevalence (...

Artificial intelligence-based diabetes risk prediction from longitudinal DXA bone measurements.

Diabetes mellitus (DM) is a serious global health concern that poses a significant threat to human l...

Deep Learning for Osteoporosis Diagnosis Using Magnetic Resonance Images of Lumbar Vertebrae.

This work uses T1, STIR, and T2 MRI sequences of the lumbar vertebrae and BMD measurements to identi...

Deep learning algorithm for identifying osteopenia/osteoporosis using cervical radiography.

Due to symptomatic gait imbalance and a high incidence of falls, patients with cervical disease-incl...

A novel dual embedding few-shot learning approach for classifying bone loss using orthopantomogram radiographic notes.

BACKGROUND: Orthopantomograms (OPGs) are essential diagnostic tools in dental and maxillofacial care...

Exploring graph-based models for predicting active compounds against triple-negative breast cancer.

Breast cancer is among the most dominant and rapidly rising cancers, both in India and around the wo...

Development of Artificial Intelligence-Assisted Lumbar and Femoral BMD Estimation System Using Anteroposterior Lumbar X-Ray Images.

The early detection and treatment of osteoporosis and prevention of fragility fractures are urgent s...

Improving prediction of fragility fractures in postmenopausal women using random forest.

Osteoporosis is a chronic disease characterized by a progressive decline in bone density and quality...

Quantitative CT Imaging in Chronic Obstructive Pulmonary Disease.

Chronic obstructive pulmonary disease (COPD) is a highly heterogeneous condition characterized by di...

Cohesive data analysis for the identification of prognostic hub genes and significant pathways associated with HER2 + and TN breast cancer types.

Breast cancer is the most prevalent and lethal form of cancer being the utmost common medical concer...

Discovery of novel cathepsin K inhibitors for osteoporosis treatment using a deep learning-based strategy.

BACKGROUND: Cathepsin K (CTSK), a cysteine protease of the papain family, exhibits high expression i...

A Machine Learning Approach to Molecular Initiating Event Prediction Using High-Throughput Transcriptomic Chemical Screening Data.

Improved scalability of high-throughput RNA-sequencing technologies has contributed to their propose...

Radiomics and machine learning for osteoporosis detection using abdominal computed tomography: a retrospective multicenter study.

OBJECTIVE: This study aimed to develop and validate a predictive model to detect osteoporosis using ...

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