Evidence map›Paper›PMID 42273084›Full record

ReviewAlzheimer's & dementia (Amsterdam, Netherlands)

The collection of speech data for the assessment of cognition remotely: Balancing ethical and practical challenges.

Stina Saunders, Fasih Haider, Alyssa M Lanzi, Brian MacWhinney, Davida Fromm, Chia-Ju Chou, Yi-Chien Liu, Ya-Ning Chang, Sarah Gregory, Craig Ritchie and 10 more

Abstract readReview
In one paragraph

Review in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Stina SaundersUsher Institute, School of Population Health Sciences The University of Edinburgh Edinburgh UK.ORCID https://orcid.org/0000-0003-3323-2505
Fasih HaiderUsher Institute, School of Population Health Sciences The University of Edinburgh Edinburgh UK.
Alyssa M LanziDepartment of Communication Sciences and Disorders University of Delaware Newark Delaware USA.
Brian MacWhinneyDepartment of Psychology Carnegie Mellon University Pittsburgh Pennsylvania USA.
Davida FrommDepartment of Psychology Carnegie Mellon University Pittsburgh Pennsylvania USA.
Chia-Ju ChouDepartment of Neurology Cardinal Tien Hospital New Taipei City Taiwan.
Yi-Chien LiuDepartment of Neurology Cardinal Tien Hospital New Taipei City Taiwan.
Ya-Ning ChangMiin Wu School of Computing National Cheng Kung University Tainan City Taiwan.
Sarah GregoryCentre for Clinical Brain Sciences University of Edinburgh, Edinburgh BioQuarter Edinburgh UK.
Craig RitchieSchool of Medicine University of St. Andrews St. Andrews UK.
Ioulietta LazarouCentre for Research and Technology Hellas Information Technologies Institute, Thermi Thessaloniki Greece.
Spiros NikolopoulosCentre for Research and Technology Hellas Information Technologies Institute, Thermi Thessaloniki Greece.
Ioannis KompatsiarisCentre for Research and Technology Hellas Information Technologies Institute, Thermi Thessaloniki Greece.
Samuel O DansoSchool of Computer Science and Engineering University of Sunderland Sunderland UK.
Graciela Muniz-TerreraCentre for Clinical Brain Sciences University of Edinburgh, Edinburgh BioQuarter Edinburgh UK.
Juan Rafael Orozco-ArroyaveGITA Lab Universidad de Antioquia Antioquia Colombia.
Paula Andrea Perez-ToroGITA Lab Universidad de Antioquia Antioquia Colombia.
Raquel Rangel CesarioMagdala Academy São Paulo Brazil.
Manuel CesarioMagdala Academy São Paulo Brazil.
Saturnino LuzUsher Institute, School of Population Health Sciences The University of Edinburgh Edinburgh UK.ORCID https://orcid.org/0000-0001-8430-7875

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Speech biomarkers could form a critical step in improving the accessibility, scalability, and early detection of Alzheimer's disease and related dementias. However, ethical and practical challenges remain across regulatory and cultural contexts. In this paper, we briefly review the challenges in adopting speech biomarkers, relate our experiences globally to recent advances in the neurodegenerative field, and consider how speech assessments could be integrated into clinical care. Insights from high- and low- and middle-income countries (Taiwan, Ghana, Colombia, Brazil, Greece, UK, and US) demonstrate the potential impact of speech technology. While there are common benefits, risks, incentives, and hurdles, many aspects are specific to country or region. There is a need for more speech data sets (particularly in languages other than English), standardization in data collection and analysis, stronger collaboration between machine learning and neurodegenerative disease experts, unified privacy regulation, and finally, a consensus on the clinical interpretation of speech biomarker data.

Indexed as

Alzheimer's diseasebrain healthdetection of cognitive declineoutcome measuresspeech biomarkers

Identifiers

PMID42273084
PMCPMC13246475

What OpenQuestion holds

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Registered trials

None linked

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.