AIMC Topic: Mental Status and Dementia Tests
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Simplifying Alzheimer's Disease Monitoring: A Novel Machine-Learning Approach to Estimate the Clinical Dementia Rating Sum of Box Changes Using the Mini-Mental State Examination and Functional Activities Questionnaire.
Journal of Alzheimer's disease : JAD
Jan 1, 2024
BACKGROUND: Primary outcome measure in the clinical trials of disease modifying therapy (DMT) drugs for Alzheimer's disease (AD) has often been evaluated by Clinical Dementia Rating sum of boxes (CDRSB). However, CDR testing requires specialized trai...
Neurologic Dysfunction Assessment in Parkinson Disease Based on Fundus Photographs Using Deep Learning.
JAMA ophthalmology
Mar 1, 2023
IMPORTANCE: Until now, other than complex neurologic tests, there have been no readily accessible and reliable indicators of neurologic dysfunction among patients with Parkinson disease (PD). This study was conducted to determine the role of fundus p...
Chronic Beneficial Effect of Makeup Therapy on Cognitive Function of Dementia and Facial Appearance Analyzed by Artificial Intelligence Software.
Journal of Alzheimer's disease : JAD
Jan 1, 2022
BACKGROUND: Makeup greatly impacts normal social lives but can also be a non-pharmacological form of therapy for dementia.
Utility of Machine Learning Approach with Neuropsychological Tests in Predicting Functional Impairment of Alzheimer's Disease.
Journal of Alzheimer's disease : JAD
Jan 1, 2022
BACKGROUND: In assessing the levels of clinical impairment in dementia, a summary index of neuropsychological batteries has been widely used in describing the overall functional status.
Developing an Image-Based Deep Learning Framework for Automatic Scoring of the Pentagon Drawing Test.
Journal of Alzheimer's disease : JAD
Jan 1, 2022
BACKGROUND: The Pentagon Drawing Test (PDT) is a common assessment for visuospatial function. Evaluating the PDT by artificial intelligence can improve efficiency and reliability in the big data era. This study aimed to develop a deep learning (DL) f...
Editorial: Designing a Protocol Adopting an Artificial Intelligence (AI)-Driven Approach for Early Diagnosis of Late-Onset Alzheimer's Disease.
Journal of molecular neuroscience : MN
Jul 1, 2021
Memory
Behavior
Mental Status and Dementia Tests
Late Onset Disorders
Clinical Trial Protocols as Topic
Ethnicity
Early Diagnosis
Hong Kong
Medical History Taking
Models, Biological
Patient Selection
Asian People
Alzheimer Disease
Prospective Studies
Humans
Biomarkers
Cognition
Wearable Electronic Devices
Artificial Intelligence
Language
Observational Studies as Topic
Mobile Applications
Case-Control Studies
Mutation
Immediate Beneficial Effect of Makeup Therapy on Behavioral and Psychological Symptoms of Dementia and Facial Appearance Analyzed by Artificial Intelligence Software.
Journal of Alzheimer's disease : JAD
Jan 1, 2021
BACKGROUND: Possible benefits of makeup therapy, in terms of immediate and late effects on cognitive and affective functions, have not been fully proved for dementia patients.
Screening for Early-Stage Alzheimer's Disease Using Optimized Feature Sets and Machine Learning.
Journal of Alzheimer's disease : JAD
Jan 1, 2021
BACKGROUND: Detecting early-stage Alzheimer's disease in clinical practice is difficult due to a lack of efficient and easily administered cognitive assessments that are sensitive to very mild impairment, a likely contributor to the high rate of unde...
Utility of MemTrax and Machine Learning Modeling in Classification of Mild Cognitive Impairment.
Journal of Alzheimer's disease : JAD
Jan 1, 2020
BACKGROUND: The widespread incidence and prevalence of Alzheimer's disease and mild cognitive impairment (MCI) has prompted an urgent call for research to validate early detection cognitive screening and assessment.
Predictors of Dementia in the Oldest Old: A Novel Machine Learning Approach.
Alzheimer disease and associated disorders
Jan 1, 2020
BACKGROUND: Incidence of dementia increases exponentially with age; little is known about its risk factors in the ninth and 10th decades of life. We identified predictors of dementia with onset after age 85 years in a longitudinal population-based co...
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