Menopause

Deep-learning framework for osteoporosis screening on low-dose X-rays: Addressing image quality variability and cross-ethnic database Heterogeneity.

The AIXA Osteo model architecture (X1AI-Osteo) has undergone internal validation in Taiwan, demonstr...

Interpretable depressive symptoms screening via statistical reasoning-augmented large language models using wearable and environmental data.

Early assessment of depressive symptoms is essential for scalable and personalized mental health car...

Association of the Dietary Index for Gut Microbiota with site-specific Osteoporosis: Insights from machine learning applied to a national population.

BACKGROUND: The association between the Dietary Index for Gut Microbiota (DI-GM) and site-specific o...

Imaging without biology: limitations of CT-derived psoas muscle volume as a standalone diagnostic criterion for sarcopenia.

We comment on the study by Choi et al., which proposes CT-derived psoas muscle volume (PV) as a diag...

Lower pre-treatment TMS-evoked cortical reactivity and alpha-band oscillatory dynamics predict efficacy of primary motor cortex neuromodulation for chronic pain.

Repetitive transcranial magnetic stimulation (rTMS) to the primary motor cortex (M1) provides signif...

An algorithm to identify less invasive surfactant administration using a real-world database of preterm infants.

BACKGROUND: Surfactant replacement therapy is central to respiratory distress syndrome (RDS) managem...

Multi-site validation of an AI-based biomarker test for determining ER, PR, and HER2 status from H&E-stained breast cancer slides.

BACKGROUND: The assessment of estrogen/progesterone receptors (ER/PR) and human epidermal growth fac...

Bone Magnetic Resonance Imaging: From Conventional Methods to AI-Driven Solutions.

With global population aging and increased life expectancy, bone diseases affect a substantial propo...

A multiparameter model (OsteoSC-M3) for early detection and risk stratification of osteoporosis in women: a multicentre cohort study in China.

BACKGROUND: Osteoporosis is a major global health issue, but current early screening tools lack accu...

Application of machine learning in osteoporosis screening: a narrative review.

Machine learning has the potential to address limitations of traditional osteoporosis screening thro...

Neuroplasticity after Stroke: Adaptive and Maladaptive Mechanisms in Evidence-Based Rehabilitation.

BACKGROUND AND PURPOSE: Ischemic stroke remains a leading cause of long-term disability and persiste...

Comment on "Assessing deep learning model performance in osteoporosis screening with lumbar spine radiographs".

Enabling ankle-brachial index prediction from doppler sounds using deep learning.

The ability to perform accurate point-of-care assessment of limb perfusion is critical for safe clin...

Predicting Osteoporosis Risk from Knee Radiographs and Clinical Features through Deep Learning: A Multimodal Approach.

BACKGROUND: Osteoporosis is a prevalent skeletal disease with high morbidity rates in developing cou...

Integrating Machine Learning into Fracture Liaison Services: Toward precision risk stratification in osteoporosis care: A prospective cohort study.

BACKGROUND: Traditional fracture risk assessment tools have limitations in accurately predicting re-...

Whole-transcriptome sequencing and machine learning detect molecular signatures of endometrial cancer in non-invasive vaginal swabs.

OBJECTIVE: Current tissue-based methods for ruling out endometrial cancer in symptomatic women are h...

Apoptotic extracellular vesicles act as master regulators of the bone healing niche.

Apoptotic extracellular vesicles (ApoEVs), natural bilayer nanoparticles released during programmed ...

Mapping intratumoral heterogeneity through PET-derived washout and deep learning after proton therapy.

The distribution of produced isotopes during proton therapy can be imaged with Positron Emission Tom...

Study on material basis and network mechanism of the Guizhi Fuling pills in the treatment of endometriosis and endometrial polyps.

To explore the material basis and network mechanism of the Guizhi Fuling pills in the treatment of e...

Cutting-edge advances in endocrine therapy for breast cancer (Review).

Endocrine therapy remains one of the primary treatment modalities for estrogen receptor (ER) positiv...

Hot flashes linked to linguistic markers of cognitive impairment: observational study of social media posts.

OBJECTIVES: This study analyzes social media data from Reddit, using artificial intelligence and nat...