A5073983496- Dementia and Cognitive Impairment Research
- Machine Learning in Healthcare
- Diverse Approaches in Healthcare and Education Studies
- Human-Automation Interaction and Safety
- Health and Wellbeing Research
- Stroke Rehabilitation and Recovery
- Deception detection and forensic psychology
- Ethics and Social Impacts of AI
- Bioinformatics and Genomic Networks
- Education and Learning Interventions
Haim Bio (South Korea)
2023-2024
Seoul National University
2023
<title>Abstract</title> Growing dementia prevalence underscores the need for efficient screening methods, but lengthy digital assessments often cause fatigue among older adults. To address this, we developed and validated Digital Assessment of Cognitive Impairment (DACI), a brief mobile application designed to accurately identify cognitive impairment (CI). Initially, 304 adults (272 healthy, 32 cognitively impaired) completed both pencil-and-paper Screening Test (CIST) full-length DACI. The...
Abstract Background Amyloid‐β is widely known as a substantial biomarker in the diagnosis of Alzheimer’s disease. However, detection amyloid‐β through neuroimaging techniques requires huge amounts resources. There growing demand to detect these pathologies based on digital biomarkers. This study primarily aimed examine validity mobile‐based tool for assessment cognitive impairment (mACI) prediction normal (CN), negative MCI (Aβ‐MCI), and positive (Aβ+MCI). Methods We recruited 102...
Abstract Background Early screening of cognitive impairment is crucial for patients demanding timely treatment. The need cost‐effective, easily accessible, and accurate tools to detect decline rapidly progressed with the breakout COVID‐19 pandemic. In this work, we proposed a mobile‐app based assessment tool, “ Alzguard‐D ”, equipped two digital biomarkers along task. Next, investigated efficacy ” in early using machine learning approach. Method Nine tasks were designed on three biomarkers:...