ArticleAmerican journal of speech-language pathology2023
DementiaBank: Theoretical Rationale, Protocol, and Illustrative Analyses.
Article in American journal of speech-language pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07200739 (Development of Deep Learning Models for Detection of Neurodegenerative Diseases Using Speech - a Danish Language-based Artificial Intelligence Study), which is not on this map. Cited by 32 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Development of Deep Learning Models for Detection of Neurodegenerative Diseases Using Speech - a Danish Language-based Artificial Intelligence Study (DetectAI)
Who cites it
32 citing papers in PubMed, 76 citations in OpenAlex.
- AI and speech-based identification of cognitive impairment in maintenance haemodialysis-the ASPIRE study.Clinical kidney journal · 2026Article
- Extending standardized speech analysis across languages: An Italian toolkit for transcription and coding of neurological speech.Behavior research methods · 2026Article
- Digital speech-based markers to advance prognosis in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Design of an artificial intelligence model to screen spontaneous speech to detect Alzheimer's Disease.PLOS digital health · 2026Article
- Early Detection of Alzheimer's Disease and Related Dementias From Spontaneous Speech Using Foundation Speech and Language Models: Comparative Evaluation.JMIR formative research · 2026Article
- Evaluating large language model performance and reliability in scoring picture description tasks for neuropsychological assessment.PLOS digital health · 2026Article
- Large Language Model Adaptation Strategies in Speech-Based Cognitive Screening: Systematic Evaluation.JMIR AI · 2026Article
- Developing a Multimodal Screening Algorithm for Mild Cognitive Impairment and Early Dementia in Home Health Care: Protocol for a Cross-Sectional Case-Control Study Using Speech Analysis, Large Language Models, and Electronic Health Records.JMIR research protocols · 2026Article
- Language biomarker screening using AI: a transdiagnostic approach to the brain.Scientific reports · 2026Article
- Utilising speech-derived biomarkers to detect Alzheimer's disease with BERT-based language models: a machine learning study.Frontiers in artificial intelligence · 2026Article
- Query-based multimodal interaction and adaptive gated fusion for Alzheimer's disease detection.Frontiers in aging neuroscience · 2026Article
- Integrating acoustic, prosodic, and phonological features for automatic Alzheimer's detection.Frontiers in aging neuroscience · 2026Article
- Evaluating spoken language as a biomarker for automated screening of cognitive impairment.Communications medicine · 2025Article
- Article
- Using machine learning to identify speech markers of subjective cognitive impairment in breast cancer survivors.Journal of cancer survivorship : research and practice · 2025Article
- Artificial intelligence-driven natural language processing for identifying linguistic patterns in Alzheimer's disease and mild cognitive impairment: A study of lexical, syntactic, and cohesive features of speech through picture description tasks.Journal of Alzheimer's disease : JAD · 2025Article
- Developing digital health technologies for frontotemporal degeneration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- Obfuscation via pitch-shifting for balancing privacy and diagnostic utility in voice-based cognitive assessment.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Alzheimer's disease recognition using graph neural network by leveraging image-text similarity from vision language model.Scientific reports · 2025Article
- LLMCARE: early detection of cognitive impairment via transformer models enhanced by LLM-generated synthetic data.Frontiers in artificial intelligence · 2025Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
purposeDementia from Alzheimer's disease (AD) is characterized primarily by a significant decline in memory abilities; however, language abilities are also commonly affected and may precede the decline of other cognitive abilities. To study the progression of language, there is a need for open-access databases that can be used to build algorithms to produce translational models sensitive enough to detect early declines in language abilities. DementiaBank is an open-access repository of transcribed video/audio data from communicative interactions from people with dementia, mild cognitive impairment (MCI), and controls. The aims of this tutorial are to (a) describe the newly established standardized DementiaBank discourse protocol, (b) describe the Delaware corpus data, and (c) provide examples of automated linguistic analyses that can be conducted with the Delaware corpus data and describe additional DementiaBank resources.
methodThe DementiaBank discourse protocol elicits four types of discourse: picture description, story narrative, procedural, and personal narrative. The Delaware corpus currently includes data from 20 neurotypical adults and 33 adults with MCI from possible AD who completed the DementiaBank discourse protocol and a cognitive-linguistic battery. Language samples were video- and audio-recorded, transcribed, coded, and uploaded to DementiaBank. The protocol materials and transcription programs can be accessed for free via the DementiaBank website.
resultsIllustrative analyses show the potential of the Delaware corpus data to help understand discourse metrics at the individual and group levels. In addition, they highlight analyses that could be used across TalkBank's other clinical banks (e.g., AphasiaBank). Information is also included on manual and automatic speech recognition transcription methods.
conclusionsDementiaBank is a shared online database that can facilitate research efforts to address the gaps in knowledge about language changes associated with MCI and dementia from AD. Identifying early language markers could lead to improved assessment and treatment approaches for adults at risk for dementia.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.