Geriatrics

An FDG-PET-Based Machine Learning Framework to Support Neurologic Decision-Making in Alzheimer Disease and Related Disorders.

BACKGROUND AND OBJECTIVES: Distinguishing neurodegenerative diseases is a challenging task requiring...

A robust automated segmentation method for white matter hyperintensity of vascular-origin.

White matter hyperintensity (WMH) is a primary manifestation of small vessel disease (SVD), leading ...

Differential dementia detection from multimodal brain images in a real-world dataset.

INTRODUCTION: Artificial intelligence (AI) models have been applied to differential dementia detecti...

Correction to "Machine learning prediction of tau-PET in Alzheimer's disease using plasma, MRI, and clinical data".

[A deep learning method for differentiating nasopharyngeal carcinoma and lymphoma based on MRI].

To development a deep learning（DL） model based on conventional MRI for automatic segmentation and di...

Reply to: 'MASLD-Brain Aging Study Biases: Distribution Shift and Self-Cancellation'.

Optimization enabled ensemble based deep learning model for elderly falling risk prediction.

Predicting fall risk in the elderly is crucial for enhancing safety and well-being. Aging and chroni...

Incorporating end-user perspectives into the development of a machine learning algorithm for first time perinatal depression prediction.

OBJECTIVE: Machine learning algorithms can advance clinical care, including identifying mental healt...

Non-traditional socio-environmental and geospatial determinants of Alzheimer's disease-related dementia mortality.

IMPORTANCE: Recent data point to the impact of non-traditional environmental and social factors on A...

Relational Bi-level aggregation graph convolutional network with dynamic graph learning and puzzle optimization for Alzheimer's classification.

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by a progressive cognitive de...

Advancing T-cell immunotherapy for cellular senescence and disease: Mechanisms, challenges, and clinical prospects.

Cellular senescence is a complex biological process with a dual role in tissue homeostasis and aging...

AI-powered speech device as a tool for neuropsychological assessment of an older adult population: A preliminary study.

As the older adult population continues to expand, the demands on the healthcare system intensifies,...

Predicting cognitive function among Chinese community-dwelling older adults: A supervised machine learning approach.

OBJECTIVE: Identifying cognitive impairment early enough could support timely intervention of cognit...

Interpretable machine learning models to predict decline in intrinsic capacity among older adults in China: a prospective cohort study.

BACKGROUND: Monitoring intrinsic capacity and implementing appropriate interventions can support hea...

Deep implicit optimization enables robust learnable features for deformable image registration.

Deep Learning in Image Registration (DLIR) methods have been tremendously successful in image regist...

Artificial intelligence applications and aging (1995-2024): Trends, challenges, and future directions in frailty research.

BACKGROUND: Frailty, a significant predictor of adverse health outcomes, has become a focal point of...

Development and validation of a convenient dementia risk prediction tool for diabetic population: A large and longitudinal machine learning cohort study.

BACKGROUND: Diabetes mellitus has been shown to increase the risk of dementia, with diabetic patient...

Comparison of machine learning and logistic regression models for predicting emergence delirium in elderly patients: A prospective study.

OBJECTIVE: To compare the performance of machine learning and logistic regression algorithms in pred...

Development and validation of explainable machine learning models for female hip osteoporosis using electronic health records.

BACKGROUND: Hip fractures are associated with reduced mobility, and higher morbidity, mortality, and...

GDRNPP: A Geometry-Guided and Fully Learning-Based Object Pose Estimator.

6D pose estimation of rigid objects is a long-standing and challenging task in computer vision. Rece...

Rethinking exploration-exploitation trade-off in reinforcement learning via cognitive consistency.

The exploration-exploitation dilemma is one of the fundamental challenges in deep reinforcement lear...