Geriatrics

Mobile Sleep Stage Analysis Using Multichannel Wearable Devices Integrated with Stretchable Transparent Electrodes.

The prevalence of sleep disorders in the aging population and the importance of sleep quality for he...

Self-adaptive hybrid data-model optimization for secure end-to-end radio-over-fiber transmission.

A novel self-adaptive secure end-to-end (E2E) transmission approach is proposed for a radio-over-fib...

Implementation of 400 Gbps quantum noise stream cipher encryption for 1520 km fiber transmission using end-to-end deep learning.

In the era of large models and big data, the security of optical fiber communication backbone networ...

Aging With Artificial Intelligence: How Technology Enhances Older Adults' Health and Independence.

BACKGROUND: As the global population ages healthcare challenges are escalating. Frailty, a clinical ...

Nonlinear Associations of Accelerometer-Based Sedentary Time With Cognitive Functions in the UK Biobank.

OBJECTIVES: Device-based sedentary time shows a nonlinear association with incident dementia among o...

Toward AI-Driven Precision Measurement of Cognition, Behavior, and Psychological Function in Aging and Alzheimer's Disease and Alzheimer's Disease-Related Dementias.

The National Institute on Aging (NIA) is at the forefront of leveraging advances in artificial intel...

A flexible machine learning Mendelian randomization estimator applied to predict the safety and efficacy of sclerostin inhibition.

Mendelian randomization (MR) enables the estimation of causal effects while controlling for unmeasur...

Deep learning reveals pathology-confirmed neuroimaging signatures in Alzheimer's, vascular and Lewy body dementias.

Concurrent neurodegenerative and vascular pathologies pose a diagnostic challenge in the clinical se...

Development and Validation of Quantile Regression Forests for Prediction of Reference Quantiles in Handgrip and Chair-Stand Test.

BACKGROUND: Muscle strength is one of the key components in the diagnosis of sarcopenia. The aim of ...

Reassessing Machine Learning Conclusions for Parkinson's Fall Prediction.

Integrating Clinical Insights and Methodological Refinements: A Commentary on Fall Risk Prediction in Parkinson's Disease.

Development of a Diagnostic Prediction Model for Post-Stroke Cognitive Impairment in Acute Large Vessel Occlusion Stroke Using Multimodal MRI and PET/CT: A Study Protocol.

OBJECTIVE: Stroke is a leading cause of morbidity and disability worldwide. Post-stroke cognitive im...

Brain Aging in Patients With Cardiovascular Disease From the UK Biobank.

The brain undergoes complex but normal structural changes during the aging process in healthy adults...

Network Occlusion Sensitivity Analysis Identifies Regional Contributions to Brain Age Prediction.

Deep learning frameworks utilizing convolutional neural networks (CNNs) have frequently been used fo...

Radiomics of PET Using Neural Networks for Prediction of Alzheimer's Disease Diagnosis.

Positron emission tomography (PET) imaging technology is widely used for diagnosing Alzheimer's dise...

Comparison of Sarcopenia Assessment in Liver Transplant Recipients by Computed Tomography Freehand Region-of-Interest versus an Automated Deep Learning System.

INTRODUCTION: Sarcopenia, or the loss of muscle quality and quantity, has been associated with poor ...

Transforming the future of health: building learning health systems across the globe.

Health care has faced disruptions over the past 5 years, including a global pandemic, supply chain i...

Detection of emergency department patients at risk of dementia through artificial intelligence.

INTRODUCTION: The study aimed to develop and validate the Emergency Department Dementia Algorithm (E...

Prediction Model and Nomogram for Amyloid Positivity Using Clinical and MRI Features in Individuals With Subjective Cognitive Decline.

There is an urgent need for the precise prediction of cerebral amyloidosis using noninvasive and acc...

Large-scale plasma proteomic profiling unveils diagnostic biomarkers and pathways for Alzheimer's disease.

Proteomic studies have been instrumental in identifying brain, cerebrospinal fluid and plasma protei...

Applying an Agile Science Roadmap to Integrate and Evaluate Ethical Frameworks Throughout the Lifecycle and Use of Artificial Intelligence Tools in the Intensive Care Unit.

This article summarizes existing ethical frameworks for healthcare artificial intelligence (AI) and ...