Evidence map›Paper›PMID 39869688›Full record

ArticlePsychotherapy (Chicago, Ill.)2025

Preliminary investigation of an artificial intelligence-based cognitive behavioral therapy training tool.

Sarah L Kopelovich, Roisín Slevin, Rachel M Brian, Victoria Shepard, Scott A Baldwin, Dror Ben-Zeev, Mike Tanana, Zac Imel

Abstract read
In one paragraph

Article in Psychotherapy (Chicago, Ill.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A Framework for Automation in Psychotherapy.Current directions in psychological science · 2025
    Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Sarah L KopelovichDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine.ORCID 0000-0003-1047-2952
Roisín SlevinLyssn.io, Inc.
Rachel M BrianDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine.
Victoria ShepardDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine.
Scott A BaldwinDepartment of Psychology, Brigham Young University.
Dror Ben-ZeevDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine.
Mike TananaLyssn.io, Inc.
Zac ImelLyssn.io, Inc.

Funding

CBTpro: Scaling up CBT for psychosis using simulated patients and spoken language technologiesR42MH123215 · NIMH · LYSSN.IO, INC. · PI KOPELOVICH, SARAH LYNN · 2020 to 2023
$2.4M
NIMH NIH HHS R42 MH123215
6 · The paper itself

Abstract

We developed an asynchronous online cognitive behavioral therapy (CBT) training tool that provides artificial intelligence- (AI-) enabled feedback to learners across eight CBT skills. We sought to evaluate the technical reliability and to ascertain how practitioners would use the tool to inform product iteration and future deployment. We conducted a single-arm 2-week field trial among behavioral health practitioners who treat outpatients with psychosis. Practitioners (

Indexed as

Artificial IntelligenceCognitive Behavioral TherapyPsychotic DisordersAdultFeasibility StudiesFemaleHumansMaleMiddle AgedReproducibility of Results

Identifiers

PMID39869688
PMCPMC11913585

What OpenQuestion holds

Textmetadata
LicenceTDM
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.