Evidence map›Paper›PMID 37971803›Full record

ArticleJMIR mental health2023

The Potential Influence of AI on Population Mental Health.

Catherine K Ettman, Sandro Galea

Abstract read
In one paragraph

Article in JMIR mental health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. The benefits and future potential of generative artificial intelligence (GAI) on mental health: a Delphi study.International journal of qualitative studies on health and well-being · 2026
    Article
  3. Review
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  6. Neuroscience Needs Behavioral "Wind Tunnels" for Real-Life Translation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
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  10. Practical Tips for Enhancing Academic Skills with Generative Artificial Intelligence Tools.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2025
    Article
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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.

Catherine K EttmanDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID https://orcid.org/0000-0002-4827-5383
Sandro GaleaOffice of the Dean, Boston University School of Public Health, Boston, MA, United States.ORCID https://orcid.org/0000-0002-7534-0945

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of artificial intelligence (AI) into everyday life has galvanized a global conversation on the possibilities and perils of AI on human health. In particular, there is a growing need to anticipate and address the potential impact of widely accessible, enhanced, and conversational AI on mental health. We propose 3 considerations to frame how AI may influence population mental health: through the advancement of mental health care; by altering social and economic contexts; and through the policies that shape the adoption, use, and potential abuse of AI-enhanced tools.

Indexed as

AIartificial intelligenceChatGPTdigital mental healthgenerativemental healthpoliciespolicypopulationpopulation healthtools

Identifiers

PMID37971803
PMCPMC10690520

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.