Evidence map›Paper›PMID 42145509›Full record

ArticleFrontiers in public health2026

Responsible AI in mental healthcare: policy directions and stakeholder insights.

Annika M Schoene, Rafael Mestre, Stuart E Middleton, Agata Lapedriza, Aynsley Bernard, Matt Lewis, Janelle Lardizabal, Arezoo Movaghar, Kelvin J Fenelon, Alisa K Lincoln and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2026. 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

14 authors.

Annika M SchoeneDepartment of Public Health and Health Sciences, Northeastern University, Boston, MA, United States.
Rafael MestreSchool of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom.
Stuart E MiddletonSchool of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom.
Agata LapedrizaInstitute for Experiential AI and Khoury College of Computer Science, Northeastern University, Boston, MA, United States.
Aynsley BernardKooth Digital Health Limited, London, United Kingdom.
Matt LewisLLMental, A Public Benefit Limited Liability Corporation, New York, NY, United States.
Janelle LardizabalDepartment of Public Health and Health Sciences, Northeastern University, Boston, MA, United States.
Arezoo MovagharDepartment of Pediatrics, Wake Forest University School of Medicine, Winston-Salem, NC, United States.
Kelvin J FenelonDepartment of Pediatrics, Wake Forest University School of Medicine, Winston-Salem, NC, United States.
Alisa K LincolnDepartment of Public Health and Health Sciences, Northeastern University, Boston, MA, United States.
Suzanne GaverichDepartment of Public Health and Health Sciences, Northeastern University, Boston, MA, United States.
Danny Scalise IiDepartment of Public Health, Burke County, Morganton, NC, United States.
Gautham Vijay KumarKnight School of Computing and Information Sciences, Florida International University, Miami, FL, United States.
Robert F LeemanDepartment of Public Health and Health Sciences, Northeastern University, Boston, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As artificial intelligence (AI) becomes increasingly integrated into mental healthcare, it presents both opportunities to expand access and challenges related to ethics, safety, and regulation. This white paper examines the current U.S. regulatory landscape and presents findings from a scenario-based survey conducted during the 2025

Indexed as

Artificial IntelligenceHealth PolicyMental Health ServicesStakeholder ParticipationHumansUnited StatesAI governanceAI in public healthdigital mental healthmental healthcareresponsible AIstakeholder engagement

Identifiers

PMID42145509
PMCPMC13176225

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.