ArticleAlzheimer's & dementia (Amsterdam, Netherlands)
Clinical classification of memory and cognitive impairment with multimodal digital biomarkers.
Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Machine Learning-Based Cognitive Assessment With The Autonomous Cognitive Examination: Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- Research on Threshold Optimization and Variability-Based Digital Biomarker Approaches Through MMSE-Lifelog Multimodal Integrated Analysis from a Clinical Screening Perspective.Healthcare (Basel, Switzerland) · 2026Article
- Streamlining Eligibility Assessment for Alzheimer's Disease-Modifying Therapies: Prediction of MMSE Scores Using the Digital Clock and Recall.medRxiv : the preprint server for health sciences · 2026Article
- Streamlining eligibility assessment for Alzheimer's disease-modifying therapies: Prediction of MMSE scores using the digital clock and recall.Frontiers in digital health · 2026Article
- Concurrent detection of cognitive impairment and amyloid positivity with a multimodal machine learning-enabled digital cognitive assessment.Alzheimer's research & therapy · 2025Article
- Digital Twin Cognition: AI-Biomarker Integration in Biomimetic Neuropsychology.Biomimetics (Basel, Switzerland) · 2025Review
- Implementing early detection of cognitive impairment in primary care to improve care for older adults.Journal of internal medicine · 2025Review
- Feasibility and Acceptability of Implementing a Digital Cognitive Assessment for Alzheimer Disease and Related Dementias in Primary Care.Annals of family medicine · 2025Article
- Digital Assessment of Cognitive Health in Outpatient Primary Care: Usability Study.JMIR formative research · 2025Article
- Performance Assessment of ChatGPT versus Bard in Detecting Alzheimer's Dementia.Diagnostics (Basel, Switzerland) · 2024Article
- A retrospective, observational study of real-world clinical data from the Cognitive Function Development Therapy program.Frontiers in human neuroscience · 2024Article
- Digital Clock and Recall: a digital, process-driven evolution of the Mini-Cog.Frontiers in human neuroscience · 2024Article
- Initial specialist validation of clinical decision support recommendations from a machine learning-enabled digital cognitive assessment.Frontiers in neurologyArticle
- Clinical classification of memory and cognitive impairment with multimodal digital biomarkers.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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Authors and funding
8 authors.
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Abstract
introductionEarly detection of Alzheimer's disease and cognitive impairment is critical to improving the healthcare trajectories of aging adults, enabling early intervention and potential prevention of decline.
methodsTo evaluate multi-modal feature sets for assessing memory and cognitive impairment, feature selection and subsequent logistic regressions were used to identify the most salient features in classifying Rey Auditory Verbal Learning Test-determined memory impairment.
resultsMultimodal models incorporating graphomotor, memory, and speech and voice features provided the stronger classification performance (area under the curve = 0.83; sensitivity = 0.81, specificity = 0.80). Multimodal models were superior to all other single modality and demographics models. DISCUSSION: The current research contributes to the prevailing multimodal profile of those with cognitive impairment, suggesting that it is associated with slower speech with a particular effect on the duration, frequency, and percentage of pauses compared to normal healthy speech.
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