Geriatrics

End Users' Perception on an AI Chatbot in a Snus Cessation Mobile Application.

This study examines end-user perceptions of an AI chatbot as a virtual therapist through a design st...

Enhancing Chronic Diabetes Care with Companion Robots in Rural Taiwan.

Managing chronic diabetes in rural Taiwan remains challenging due to limited medical access and low ...

From Text to Knowledge: An End-To-End Extraction Pipeline for Clinical Information.

This study explores the use of Large Language Models (LLMs) in extracting and structuring allergic r...

Leveraging Retrieval Augmented Generation-Driven Large Language Models to Extract Dementia Agitation Symptoms and Triggers from Free-Text Nursing Notes.

Unstructured electronic health records are a rich source of patient-specific information but are cha...

Machine learning diagnosis of cognitive impairment and dementia in harmonized older adult cohorts.

INTRODUCTION: Clinical diagnosis (normal cognition, mild cognitive impairment [MCI], dementia) is cr...

Brain Age Prediction: Deep Models Need a Hand to Generalize.

Predicting brain age from T1-weighted MRI is a promising marker for understanding brain aging and it...

CT Biomarkers for Phenotypic Biological Aging: Emerging Concepts and Advantages.

Aging is a complex phenomenon reflecting the time-dependent accumulation of damage that results in p...

AI in Neurology: Everything, Everywhere, All at Once Part 1: Principles and Practice.

Artificial intelligence (AI) is rapidly transforming healthcare, yet it often remains opaque to clin...

Multi-Target Drug Design in Alzheimer's Disease Treatment: Emerging Technologies, Advantages, Challenges, and Limitations.

Alzheimer's disease (AD) is a complex and multifactorial neurodegenerative disorder, recognized as t...

Artificial neural networks computing for heat transfer flow of hybrid nanofluid in rectangular geometry.

This study explores the complex dynamics of heat transfer in hybrid nanofluid flow, focusing on the ...

Investigating the potential risk of cadmium exposure on Osteoporosis: An integrated multi-omics approach.

Osteoporosis (OP) is a chronic progressive bone disease, and its occurrence and development under ca...

Does restrictive anorexia nervosa impact brain aging? A machine learning approach to estimate age based on brain structure.

Anorexia nervosa (AN), a severe eating disorder marked by extreme weight loss and malnutrition, lead...

Multivariate multi-horizon time-series forecasting for real-time patient monitoring based on cascaded fine tuning of attention-based models.

The real-time forecasting of critical physiological indicators in intensive care units (ICUs) is ess...

Selection, visualization, and explanation of deep features from resting-state fMRI for Alzheimer's disease diagnosis.

Despite the remarkable achievements of deep learning networks in analyzing neuroimaging data for var...

ASO Author Reflections: Machine Learning for Postoperative Frailty Prediction in NSCLC-From Model Development to Clinical Translation.

In-silico evaluation of aging-related interventions using omics data and predictive modeling.

A major challenge in aging research is identifying interventions that can improve lifespan and healt...

Renal Transplant Survival Prediction From Unsupervised Deep Learning-Based Radiomics on Early Dynamic Contrast-Enhanced MRI.

RATIONALE AND OBJECTIVES: End-stage renal disease is characterized by an irreversible decline in kid...

Brain age prediction from MRI scans in neurodegenerative diseases.

PURPOSE OF REVIEW: This review explores the use of brain age estimation from MRI scans as a biomarke...

Development and Validation of a Machine Learning-Based Predictive Model for Postoperative Frailty in Patients with Non-Small Cell Lung Cancer and Its Relation to Early Recovery.

PURPOSE: This study was designed to evaluate the postoperative frailty status of patients with non-s...

Artificial Intelligence-Assisted Hippocampal Segmentation and Its Diagnostic Value for Alzheimer's Disease: A Meta-analysis.

BACKGROUND: Hippocampal atrophy is a key marker of Alzheimer's disease (AD) and mild cognitive impai...

Toward Collaborative Autonomous Driving: Simulation Platform and End-to-End System.

Vehicle-to-everything-aided autonomous driving (V2X-AD) has a huge potential to provide a safer driv...