Evidence map›Paper›PMID 37980431›Full record

ArticleScientific reports2023

Reliability and validity of a widely-available AI tool for assessment of stress based on speech.

Batul A Yawer, Julie Liss, Visar Berisha

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. An End-to-End Overview of Clinical Speech AI.IEEE transactions on audio, speech, and language processing (2025) · 2026
    Article
  2. Article
  3. Article
  4. Review
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

3 authors.

Batul A YawerArizona State University, Tempe, USA. byawer@asu.edu.
Julie LissArizona State University, Tempe, USA.
Visar BerishaArizona State University, Tempe, USA.

Funding

The effects of telepractice technology on dysarthric speech evaluationR21DC019475 · NIDCD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI BERISHA, VISAR, LISS, JULIE M · 2021 to 2022
$414k
NIDCD NIH HHS R21 DC019475NIH HHS 5R21DC019475
6 · The paper itself

Abstract

Cigna's online stress management toolkit includes an AI-based tool that purports to evaluate a person's psychological stress level based on analysis of their speech, the Cigna StressWaves Test (CSWT). In this study, we evaluate the claim that the CSWT is a "clinical grade" tool via an independent validation. The results suggest that the CSWT is not repeatable and has poor convergent validity; the public availability of the CSWT despite insufficient validation data highlights concerns regarding premature deployment of digital health tools for stress and anxiety management.

Indexed as

Artificial IntelligenceSpeechHumansReproducibility of Results

Identifiers

PMID37980431
PMCPMC10657363

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.