AIMC Topic: Neurocognitive Disorders
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The Rapid Online Cognitive Assessment for the Detection of Neurocognitive Disorder: Open-Label Study.
Journal of medical Internet research
Jun 19, 2025
BACKGROUND: The rising prevalence of dementia necessitates a scalable solution to cognitive screening. Paper-based cognitive screening examinations are well-validated but minimally scalable. If a digital cognitive screening examination could replicat...
Development of an ethical framework for the use of social robots in the care of individuals with major neurocognitive disorders: a qualitative study.
BMC geriatrics
Apr 22, 2025
BACKGROUND: Despite the growing use of social robots in geriatric care, there is a lack of standardized ethical guidelines to inform and guide professionals in their implementation.
The clinical significance of an AI-based assumption model for neurocognitive diseases using a novel dual-task system.
Scientific reports
Apr 22, 2025
Dual-task composed of gait or stepping tasks combined with cognitive tasks has been well-established as valuable tools for detecting neurocognitive disorders such as mild cognitive impairment and early-stage Alzheimer's disease. We previously develop...
Development and validation comparison of multiple models for perioperative neurocognitive disorders during hip arthroplasty.
Scientific reports
Mar 19, 2025
This study aims to develop optimal predictive models for perioperative neurocognitive disorders (PND) in hip arthroplasty patients, thereby advancing clinical practice. Data from all hip arthroplasty patients in the MIMIC-IV database were utilized to...
A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care IV Database: Retrospective Study.
Journal of medical Internet research
Jan 15, 2025
BACKGROUND: Patients undergoing liver transplantation (LT) are at risk of perioperative neurocognitive dysfunction (PND), which significantly affects the patients' prognosis.
CNVDeep: deep association of copy number variants with neurocognitive disorders.
BMC bioinformatics
Aug 29, 2024
BACKGROUND: Copy number variants (CNVs) have become increasingly instrumental in understanding the etiology of all diseases and phenotypes, including Neurocognitive Disorders (NDs). Among the well-established regions associated with ND are small part...
Identifying neurocognitive disorder using vector representation of free conversation.
Scientific reports
Aug 3, 2022
In recent years, studies on the use of natural language processing (NLP) approaches to identify dementia have been reported. Most of these studies used picture description tasks or other similar tasks to encourage spontaneous speech, but the use of f...
Automated diagnosis of HIV-associated neurocognitive disorders using large-scale Granger causality analysis of resting-state functional MRI.
Computers in biology and medicine
Jan 15, 2019
HIV-associated neurocognitive disorders (HAND) represent an important source of neurologic complications in individuals with HIV. The dynamic, often subclinical, course of HAND has rendered diagnosis, which currently depends on neuropsychometric (NP)...
Towards a new classification of stable phase schizophrenia into major and simple neuro-cognitive psychosis: Results of unsupervised machine learning analysis.
Journal of evaluation in clinical practice
May 23, 2018
RATIONALE: Deficit schizophrenia, as defined by the Schedule for Deficit Syndrome, may represent a distinct diagnostic class defined by neurocognitive impairments coupled with changes in IgA/IgM responses to tryptophan catabolites (TRYCATs). Adequate...
Inflammation
Unsupervised Machine Learning
Cognitive Reserve
Patient Acuity
Neurocognitive Disorders
Schizophrenia
Neuroimmunomodulation
Male
Humans
Psychotic Disorders
Middle Aged
Cytokines
Tryptophan
Quality of Life
Psychiatric Status Rating Scales
Female
Adult
Schizophrenic Psychology
Behavioral Symptoms
Analysis of Risk Factors in Dementia Through Machine Learning.
Journal of Alzheimer's disease : JAD
Jan 1, 2021
BACKGROUND: Sociodemographic data indicate the progressive increase in life expectancy and the prevalence of Alzheimer's disease (AD). AD is raised as one of the greatest public health problems. Its etiology is twofold: on the one hand, non-modifiabl...
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