Menopause

[Deep learning-based assessment of periodontal ligament area changes in maxillary central incisors under different orthodontic regimens using cone-beam CT images].

Objective: To investigate the differences in the changes of periodontal ligament area (PDLA) and rel...

A data-centric approach to detecting and mitigating demographic bias in pediatric mental health text.

BACKGROUND: Healthcare Artificial Intelligence (AI) offers transformative potential but often inheri...

Machine learning model integrating oral microbiota and clinical features for predicting osteoporosis and bone loss in high-altitude populations.

Flow by design: a guided review of microfluidics for wearable biosensors.

The integration of microfluidics into wearable biosensors has enabled real-time, non-invasive access...

Women's reproductive factors predict local brain aging profiles mapped using deep neural networks.

Deep neural networks (DNNs) trained on magnetic resonance images can estimate global brain age (GBA)...

Integration of multi-omics and machine learning to reveal the anti-osteoporosis effects of Hederagenin by inhibiting lipid peroxidation via the GPX4/p-STAT1/PTGS2 axis.

Osteoporosis (OP) is a multifactorial disease, leading to abnormal bone remodeling, requiring target...

In-Hospital Mortality Prediction of Patients Requiring Extracorporeal Membrane Oxygenation Using Composite Lactate Metrics and Weight of Evidence Modeling.

BACKGROUND: Mortality prognostication in adult patients requiring extracorporeal membrane oxygenatio...

Predicting Non-Response to Multicomponent Treatment in Fibromyalgia: Development and Validation of a Machine Learning Model.

BACKGROUND: Multicomponent programs combining therapeutic exercise, cognitive-behavioral therapy, an...

An AI Tutorial for Speech and Language Therapists: Translating Concepts From the AI Literature Into Accessible Knowledge and Clinically Relevant Applications.

BACKGROUND: Artificial Intelligence (AI) is increasingly discussed as a tool that can support speech...

ChatGPT, Gemini, and Claude in clinical and dermoscopic image analysis of basal cell carcinoma and its common mimickers: A comparative performance analysis.

Basal cell carcinoma (BCC) is the most common skin cancer. Off-the-shelf multimodal large language m...

Single-nucleus multi-omics dissection of dysregulated trophoblast development and disrupted immune microenvironment in complete hydatidiform moles.

Hydatidiform mole (HM) is driven by aberrant trophoblast proliferation, disrupting embryonic develop...

Model-Inversion-Resistant Physical Unclonable Neural Network Using Vertical NAND Flash Memory.

The growing use of neural networks in privacy-sensitive applications necessitates architectures that...

Transcriptome-based high-frequency recurrence index predicts frequent recurrence in non-muscle-invasive bladder cancer after Bacillus Calmette-Guérin therapy.

BACKGROUND: High-frequency recurrence (HfR, ≥ 2 recurrences) in non-muscle-invasive bladder cancer (...

Radiopharmaceuticals: Status, Regulatory Landscape and Future Perspective.

Radiopharmaceuticals are biologically active molecules labeled with radionuclides that have advanced...

Advancement in peptide-based therapeutics for the treatment of type 2 diabetes mellitus: current progress and future prospects.

Diabetes is a chronic medical disorder caused by insufficient production of the hormone insulin by t...

Deep learning-assisted tumor radiomic dynamics on MRI predict pathological complete response in HCC undergoing immune-based therapy followed by hepatectomy.

BACKGROUND AIMS: Pathological complete response (pCR) following conversion therapy for initially unr...

Patient perspective on large-language model responses to questions about Moyamoya.

PURPOSE: Large Language Models (LLMs) are widely used and accessible. We investigate whether publicl...

Deep Learning-Based Prediction of Trabecular Bone Mineral Density From Lumbar CT: A Superior Alternative to DEXA in Hyperostosis.

Study DesignRetrospective Cohort Study.ObjectivesThis study explores using deep learning to predict ...

Ultrasound-Responsive Serotonylation and Hallmark Pathway Gene Signatures Reveal Tumor Microenvironment Vulnerabilities and Prognostic Subtypes in Colorectal Cancer.

BACKGROUND: Focused ultrasound, low-intensity focused ultrasound, and microbubble-enhanced sonoporat...

Feasibility of predicting vertical cephalometric angles from panoramic radiographs using deep learning.

INTRODUCTION: Early identification of vertical skeletal discrepancies is essential for orthodontic d...

Diagnostic accuracy of deep learning vs. human raters for detecting osteoporotic vertebral compression fractures in routine CT scans.

OBJECTIVES: Vertebral fractures are severe complications of osteoporosis but are frequently missed o...