Alzheimer's Disease

Associations Between Interoception and Sensory Processing in Preschool Children.

This study examined how caregiver-reported interoceptive functioning relates to caregiver-reported sensory processing characteristics in typically developing preschool children aged 2-5 years. Interoceptive functioning was assessed using the caregiver-report Dynamic Metacognitive Interoception Measure (DMIM), and sensory processing characteristics were assessed with the caregiver-report Sensory Pr...

Machine learning for predicting full-count FDG PET brain images from low-count acquisitions in suspected dementia: a clinical and quantitative evaluation.

Objective.Artificial intelligence methods for denoising low-count FDG PET brain images are usually evaluated using image quality metrics alone, with limited direct clinical assessment, particularly in suspected dementia. This study evaluated a machine-learning image quality transfer (IQT) method for predicting full-count FDG PET brain images from low-count acquisitions using both quantitative metr...

Mapping Artificial Intelligence Applications in Dementia Caregiving: A Scoping Review of Technologies, Functions, and Evidence Gaps.

PURPOSE: As symptoms progress in people with Alzheimer's disease and related dementias (ADRD), caregivers assume increasing responsibility. The object...

Deep Model Families for EEG-Based Multi-Class Dementia Classification.

Deep learning (DL) has shown considerable promise for EEG-based dementia assessment; however, rigorous cross-family comparisons under leakage-free and...

Machine learning-based prediction of hospital-associated complications after tibial fracture surgery in older patients: a nationwide Japanese database study.

BACKGROUND: Older adults requiring emergency surgery for acute tibial fractures are vulnerable to hospital-associated complications (HACs), but admiss...

Identifying sex-specific sub-phenotypes of Alzheimer's disease progression using longitudinal electronic health records.

BACKGROUND: Alzheimer's Disease (AD) is a complex neurodegenerative disorder, with women comprising nearly two-thirds of individuals with AD. However,...

Network-based discovery of regulatory drivers of cognitive decline in alzheimer's disease.

Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder marked by progressive cognitive decline, yet its transcriptional regulatory ar...

Leveraging Advanced AI Frameworks for Dual PPAR α/γ Agonist Discovery in Alzheimer's Disease.

The dual activating potential of peroxisome proliferator-activated receptors (PPAR) α and γ offers a promising way to address metabolic issues, neuroi...

Feasibility Assessment of an Intelligent Agent to Assist Preserving Healthy Hearing.

Hearing loss is a rising health concern. The World Health Organization estimates that over 1.5 billion people worldwide are currently experiencing hea...

Amyloid-like nanofilm-decorated antifouling field effect transistor biosensor array for enhancing Alzheimer's disease diagnosis.

Alzheimer's disease (AD) is a common neurodegenerative disorder. Compared to the limited specificity of single-biomarker detection, the combined detec...

Interpretable machine learning models predict cognitive impairment in adults aged 50 and over with diabetes: influence of dietary nutrients.

Introduction: diabetes mellitus increases the risk of cognitive impairment, but the role of dietary nutrients remains unclear. Objectives: to develop ...

Patient- and Caregiver-Informed Considerations for the Design and Implementation of Generative AI-Supported Patient-Centered Clinical Decision Support: Qualitative Study.

BACKGROUND: Generative artificial intelligence (AI) has the potential to impact health care by transforming workflows and improving outcomes. Patient-...

User Acceptability and Adoption of AI-Generated Lifestyle Intervention Recommendations: Scoping Review and Theoretical Integration.

BACKGROUND: Artificial intelligence (AI)-generated lifestyle recommendations are increasingly used to support health behavior change. However, AI advi...

Nonverbal AI-Based Communication Robot for Staff in Disaster-Affected Care Facilities: Exploratory ABAB Intervention Study.

BACKGROUND: Medical and welfare facilities in the Noto region of Japan were severely affected by the 2024 Noto Peninsula earthquake and subsequent tor...

How Correct is AI for Infant Safe Sleep Advice? Evaluating Accuracy of ChatGPT, Gemini, and Claude Against AAP Guidelines.

OBJECTIVE: Since the 1994 "Back to Sleep" campaign, pediatricians have promoted evidence-based infant safe sleep practices to reduce sleep-related inf...

Estimating blood-brain barrier exchange rate using diffusion-weighted arterial spin labeling and physics-guided neural networks.

This study proposes physics-guided neural network (PgNN) approaches for estimating perfusion and blood-brain barrier (BBB) water permeability paramete...

Integrative multi-omics reveals MHC class II-mediated neuroinflammation and systemic metabolic dysregulation as transdiagnostic drivers in major brain disorders.

Psychiatric, neurodevelopmental, and neurodegenerative disorders, including Alzheimer's disease (AD), attention-deficit/hyperactivity disorder (ADHD),...

Safety boundary maintenance in consumer AI systems responding to pediatric health queries: a cross-platform benchmark evaluation under naturalistic and adversarially pressured conditions.

Consumer artificial intelligence chatbots are now accessed by hundreds of millions of users seeking health information, yet systematic evaluation of t...

Generative large language models in the clinical management of Alzheimer's disease and mild cognitive impairment.

BACKGROUND: Dementia affects over 55 million people worldwide. Mild cognitive impairment (MCI) often precedes Alzheimer's disease (AD). Clinical manag...

Predicting drug release from polymeric long-acting injectables using a machine learning approach to decode formulation-performance relationships.

Polymeric long-acting injectables (LAIs) are among the most impactful yet least predictable drug delivery systems, as their performance emerges from a...