Evidence map›Paper›PMID 41118365›Full record

ArticlePloS one2025

Ethical and legal considerations of artificial intelligence applications in psychiatric violence risk assessment: A scoping review protocol.

Andrew Lee, Daniel Buchman, Katrina Hui, Sophie Nunnelley, Stephanie Penney, Terri Rodak, Juveria Zaheer, Laura Sikstrom

Abstract read
In one paragraph

Article in PloS one, 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

8 authors.

Andrew LeeTemerty Medicine Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-5899-2239
Daniel BuchmanCentre for Addiction and Mental Health, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0001-8944-6647
Katrina HuiTemerty Medicine Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-5472-3779
Sophie NunnelleyLincoln Alexander School of Law, Toronto Metropolitan University, Toronto, Ontario, Canada.ORCID https://orcid.org/0009-0002-7611-4138
Stephanie PenneyTemerty Medicine Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-5890-4163
Terri RodakCentre for Addiction and Mental Health, Toronto, Ontario, Canada.
Juveria ZaheerTemerty Medicine Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.
Laura SikstromCentre for Addiction and Mental Health, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0001-9359-9574

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Violence risk assessment is a critical component of psychiatric practice, with significant clinical, ethical, and legal implications. Psychiatric patients at high risk of violence often face interventions including restraints, intramuscular injections, and involuntary hospitalization. Agitated and aggressive behaviours from patients have been linked to high hospital costs due to increased length of stay, readmissions, increased medication use, staff injury, and need for high acuity monitoring. Traditional risk assessment tools can be time intensive and have poor generalizability to civil populations. Recent advances in artificial intelligence (AI) have the potential for enhancing the precision of violence risk assessments. Although AI can address the technical issues of risk assessment, its implementation will raise new ethical and legal challenges. In psychiatry, AI-assisted violence risk assessment intersects with mental health law, particularly criteria for preventive detention and the ethical boundaries of AI-driven decisions. There have been some early concerns about racial bias, lack of transparency, accountability, and disruption to current practices in psychiatric care. To our knowledge, there have been no efforts to synthesize the ethical and legal implications for this particular use case. To address these gaps, we conducted a scoping review to map the literature on the ethical and legal considerations of AI in violence risk assessment in acute psychiatry.

Indexed as

Artificial IntelligenceMental DisordersPsychiatryViolenceHumansRisk AssessmentScoping Reviews as Topic

Identifiers

PMID41118365
PMCPMC12539692

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.