Latest AI and machine learning research in geriatrics for healthcare professionals.
Previous research has established type 2 diabetes mellitus as a significant risk factor for various ...
Artificial intelligence (AI) has played a novel role in aiding healthcare system functions and enhan...
Artificial intelligence (AI) is revolutionizing nursing by enhancing decision-making, patient monito...
The progression of Alzheimer's disease (AD) involves complex changes in brain structure and function...
Sirtuins, a class of NAD+ -dependent deacetylases, play a key role in aging, metabolism, and longevi...
Given the relationship between hippocampal atrophy and cognitive impairment in various pathological ...
MOTIVATION: The integration of Machine Learning and Artificial Intelligence (AI) into healthcare has...
PURPOSE: To develop an intelligent grading model for myopic maculopathy based on a long-tail learnin...
BACKGROUND AND AIMS: Artificial intelligence (AI) algorithms in 12-lead electrocardiogram (ECG) prov...
BACKGROUND: Integrating non-invasive measures to estimate abnormal amyloid beta accumulation (Aβ+) i...
Background Recent studies have investigated how deep learning (DL) algorithms applied to CT using tw...
INTRODUCTION: The utility of retinal photography-derived aging biomarkers for predicting cognitive d...
Alzheimer's disease (AD) is the most prevalent form of dementia, characterized by progressive memory...
Purpose To apply conformal prediction to a deep learning (DL) model for intracranial hemorrhage (ICH...
Alzheimer's disease (AD) classification models usually segment the entire brain image into voxel blo...
Alzheimer's disease is an irreversible central neurodegenerative disease, and early diagnosis of Alz...
OBJECTIVE: To explore the feasibility of incorporating simple bedside indicators into death predicti...
BACKGROUND: Hospital falls are the most prevalent and fatal event in healthcare, posing significant ...
INTRODUCTION: Tau positron emission tomography (PET) is a reliable neuroimaging technique for assess...
BACKGROUND: Mild cognitive impairment and early-stage dementia significantly impact healthcare utili...
OBJECTIVES: The application of natural language processing (NLP) in the clinical domain is important...