Geriatrics

Bioinformatics analysis of Rho-signal transduction genes in postmenopausal osteoporosis and periodontitis.

Postmenopausal osteoporosis (PMOP) increases the risk of periodontitis (PD), yet the shared mechanis...

Machine learning-based predictive modeling of angina pectoris in an elderly community-dwelling population: Results from the PoCOsteo study.

BACKGROUND: Angina pectoris, a comparatively common complaint among older adults, is a critical warn...

Impact of artificial intelligence assistance on bone scintigraphy diagnosis.

Bone scintigraphy is an important tool for detecting bone lesions. This study aimed to improve and e...

Human fall direction recognition in the indoor and outdoor environment using multi self-attention RBnet deep architectures and tree seed optimization.

Falling poses a significant health risk to the elderly, often resulting in severe injuries if not pr...

Adaptive-learning physics-assisted light-field microscopy enables day-long and millisecond-scale super-resolution imaging of 3D subcellular dynamics.

Long-term and high-spatiotemporal-resolution 3D imaging of living cells remains an unmet challenge f...

Enhancing Brain Source Reconstruction by Initializing 3D Neural Networks with Physical Inverse Solutions.

Reconstructing brain sources is a fundamental challenge in neuroscience, crucial for understanding b...

A Molecular Representation Learning Model Based on Multidimensional Joint and Cross-Learning for Drug-Drug Interaction Prediction.

Drug-drug interactions (DDIs) present significant challenges within clinical pharmacology, as they c...

The fall and rise of Iruda: Reassembling AI through ethics-in-action.

This paper examines the case of Iruda, an AI chatbot launched in December 2020 by the South Korean s...

Multi-omics analysis of plasma and CSF in spontaneous diabetic cynomolgus monkeys: Unravelling and validating the key molecular markers that predict the preclinical pathological formation of Alzheimer's disease.

Alzheimer's disease (AD) biomarkers (Aβ42 or Tau 181) have high diagnostic performance. However, whe...

Integrating Time and Frequency Domain Features of fMRI Time Series for Alzheimer's Disease Classification Using Graph Neural Networks.

Accurate and early diagnosis of Alzheimer's Disease (AD) is crucial for timely interventions and tre...

xEEGNet: Towards explainable AI in EEG dementia classification.

OBJECTIVE: This work presents xEEGNet, a novel, compact, and explainable neural network for EEG data...

Evaluation of an Artificial Intelligence and Online Psychotherapy Initiative to Improve Access and Efficiency in an Ambulatory Psychiatric Setting: Évaluation d'une initiative de psychothérapie en ligne basée sur l'intelligence artificielle visant à améliorer l'accès et l'efficacité en milieu psychiatrique ambulatoire.

ObjectivesThis study aimed to implement an artificial intelligence-assisted psychiatric triage progr...

Performance of Artificial Intelligence in Skin Cancer Detection: An Umbrella Review of Systematic Reviews and Meta-Analyses.

Skin cancer has one of the highest incidence rates among malignancies. A shortage of clinical expert...

TA-SSM net: tri-directional attention and structured state-space model for enhanced MRI-Based diagnosis of Alzheimer's disease and mild cognitive impairment.

Early diagnosis of Alzheimer's disease (AD) and its precursor, mild cognitive impairment (MCI), is c...

Uncovering active ingredients and mechanisms of Pholiota adiposa in the treatment of Alzheimer's disease based on network pharmacology and bioinformatics.

Pholiota adiposa is recognized for its health benefits, particularly in Alzheimer's disease (AD), bu...

Establishment of predictive models for postoperative delirium in elderly patients after knee/hip surgery based on total bilirubin concentration: machine learning algorithms.

BACKGROUND: With the aging demographic on the rise, we're seeing a spike in the occurrence of postop...

Machine Learning-Based Cognitive Assessment With The Autonomous Cognitive Examination: Randomized Controlled Trial.

BACKGROUND: The rising prevalence of dementia necessitates a scalable solution to cognitive assessme...

Interpretable Cross-Modal Alignment Network for EEG Visual Decoding With Algorithm Unrolling.

Accurate decoding in electroencephalography (EEG) technology, particularly for rapid visual stimuli,...

Sex-specific trajectories of hippocampal aging: structural changes and asymmetry across the lifespan.

Demographic Data Supporting FDA Authorization of AI Devices for Alzheimer Disease and Related Dementias.

Structural MRI-based Computer-aided Diagnosis Models for Alzheimer Disease: Insights into Misclassifications and Diagnostic Limitations.

Purpose To examine common patterns among different computer-aided diagnosis (CAD) models for Alzhei...