Endocrinology

Menopause

Latest AI and machine learning research in menopause for healthcare professionals.

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Thirty-day mortality risk prediction for geriatric patients undergoing non-cardiac surgery in the surgical intensive care unit.

BACKGROUND: The prediction of mortality for elderly patients undergoing non-cardiac surgeries is a v...

Construction and validation of a predictive model for suicidal ideation in non-psychiatric elderly inpatients.

BACKGROUND: Suicide poses a substantial public health challenge globally, with the elderly populatio...

Molecular Association Assay Systems for Imaging Protein-Protein Interactions in Mammalian Cells.

Molecular imaging probes play a pivotal role in assaying molecular events in various physiological s...

[Use of Machine Learning Methods to Identify Soil Parent Materials in a High-cadmium Geological Background Area].

Recently, the characteristics of high Cd content and low Cd mobility in karstic soil of a high geolo...

Multiple machine learning algorithms identify 13 types of cell death-critical genes in large and multiple non-alcoholic steatohepatitis cohorts.

BACKGROUND: Dysregulated programmed cell death pathways mechanistically contribute to hepatic inflam...

Accuracy of Low-Dose Chest CT-Based Artificial Intelligence Models in Osteoporosis Detection: A Systematic Review and Meta-analysis.

The purpose of this study is to systematically review and evaluate the accuracy of low-dose chest CT...

Impact of Blastocystis carriage and colonization intensity on gut microbiota composition in a non-westernized rural population from Colombia.

BACKGROUND: The role of Blastocystis, a common intestinal parasitic protist of humans and other anim...

Light Bladder Net: Non-invasive Bladder Cancer Prediction by Weighted Deep Learning Approaches and Graphical Data Transformation.

BACKGROUND/AIM: Bladder cancer (BCa) is associated with high recurrence rates, emphasizing the impor...

Non-invasive physiological assessment of intermediate coronary stenoses from plain angiography through artificial intelligence: the STARFLOW system.

BACKGROUND: Despite evidence supporting use of fractional flow reserve (FFR) and instantaneous waves...

Different Performances of Machine Learning Models to Classify Dysphonic and Non-Dysphonic Voices.

OBJECTIVE: To analyze the performance of 10 different machine learning (ML) classifiers for discrimi...

Determinants of ascending aortic morphology: cross-sectional deep learning-based analysis on 25 073 non-contrast-enhanced NAKO MRI studies.

AIMS: Understanding determinants of thoracic aortic morphology is crucial for precise diagnostics an...

Exploring the Potential of Non-Proprietary Language Models for Analysing Patient-Reported Experiences.

Large language models (LLMs) are increasingly being explored for various applications in medical lan...

PD-L1 Scoring Models for Non-Small Cell Lung Cancer in China: Current Status, AI-Assisted Solutions and Future Perspectives.

Immunotherapy has revolutionized the diagnosis and treatment model for patients with advanced non-sm...

Deep Learning-Accelerated Non-Contrast Abbreviated Liver MRI for Detecting Malignant Focal Hepatic Lesions: Dual-Center Validation.

OBJECTIVE: To compare a deep learning (DL)-accelerated non-enhanced abbreviated MRI (AMRI) protocol ...

Deep Learning Technique for Automatic Segmentation of Proximal Hip Musculoskeletal Tissues From CT Scan Images: A MrOS Study.

BACKGROUND: Age-related conditions, such as osteoporosis and sarcopenia, alongside chronic diseases,...

Assessing the effects of immune checkpoint inhibitors on bone utilizing machine learning-assisted opportunistic quantitative computed tomography.

Immune checkpoint inhibitors (ICIs) are widely used in cancer treatment, yet their impact on bone he...

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