Review of Speech and Language Analytics for Alzheimer's Disease Screening

Supplementary Material for 'The utility of Speech and Language analytics for screening Alzheimer's Disease' is a 25.7 KB DOCX file published on figshare under CC-BY-4.0 license. The document, last updated in April 2026, synthesizes evidence on acoustic, prosodic, lexical, semantic, and syntactic speech features associated with Alzheimer's disease and mild cognitive impairment.

Use Cases

• Developing machine-learning models for cognitive impairment screening based on acoustic and prosodic features described.
• Designing standardized speech elicitation protocols for clinical trials based on reviewed tasks like picture description and verbal fluency.
• Building multimodal analytic pipelines for early disease detection based on the review of hybrid hand-crafted and machine-extracted features.
• Evaluating the utility of speech features for digital pre-screening and quality-assurance monitoring as discussed in the summary.

Strengths

• File size is precisely 25.7 KB, indicating a concise document.
• License is clearly defined as CC-BY-4.0, permitting reuse with attribution.
• Last update timestamp is provided (2026-04-20 03:55:17).

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is a 25.7 KB review document, not a primary data collection, which limits direct analysis.
• Data may reflect publication bias inherent to the reviewed literature sourced via figshare.

Provenance

Source

figshare admin karger

Collection Method

Likely a literature review and synthesis.

Time Range

Publication date suggests content is current as of April 2026.

Freshness

Last updated 2026-04-20 03:55:17; freshness should be verified.

Geography

Coverage of reviewed studies is unknown.