Evidence map›Paper›PMID 41405973›Full record

ArticleJMIR mental health2025

A Paradigm Shift in Progress: Generative AI's Evolving Role in Mental Health Care.

John Torous, Andrea Cipriani

Abstract read
In one paragraph

Article in JMIR mental health, 2025. 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

2 authors.

John TorousDivision of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, 20 Overland St, Suite 202, Boston, MA, 02215, United States, 1 6176676700.ORCID http://orcid.org/0000-0002-5362-7937
Andrea CiprianiDepartment of Psychiatry, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0001-5179-8321

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unlabelled: Generative artificial intelligence (AI) is reshaping mental health but the direction of that change remains unclear. In this commentary, we examine the recent evidence and trends in mental health AI to identify where AI can provide value for the field while avoiding the pitfalls that have challenged the smartphone app and VR space. While AI technology will continue to improve, those advances alone are not enough to move AI from mental wellness to psychiatric tools and a new generation of clinical investigation, integration, and leadership will unlock the full value of AI.

Indexed as

Artificial IntelligenceMental Health ServicesHumansAIappsartificial intelligencelarge language modelLLMmental health

Identifiers

PMID41405973
PMCPMC12710723

What Socratic 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 Socratic graph.