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Multidisciplinary research priorities for artificial intelligence in mental health: a call to action

The use of artificial intelligence (AI) is anticipated to transform mental health care. However, the rapid research growth in this field has outpaced coordinated frameworks, leaving research efforts fragmented, standards inconsistent, and safeguards for safety and ethics largely absent. This Positio...

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Main Authors: Linardon, Jake (Author) , Firth, Joseph (Author) , Carvalho, Andre F (Author) , Bockting, Claudi L (Author) , Christensen, Helen (Author) , Dieckmann, Luiz Henrique Junqueira (Author) , Griffiths, Scott (Author) , Gupta, Sunil (Author) , Hegerl, Ulrich (Author) , Li, Kezhi (Author) , Liu, Claudia (Author) , Maes, Michael (Author) , Marx, Wolfgang (Author) , Messer, Mariel (Author) , Meyer-Lindenberg, Andreas (Author) , Passos, Ives C (Author) , Winkler, Petr (Author) , Zhang, Xiaolong (Author) , Blease, Charlotte (Author) , Torous, John (Author)
Format: Article (Journal)
Language:English
Published: September 2026
In: The lancet. Psychiatry
Year: 2026, Volume: 13, Issue: 9, Pages: 792-803
ISSN:2215-0374
DOI:10.1016/S2215-0366(26)00127-6
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1016/S2215-0366(26)00127-6
Verlag, kostenfrei, Volltext: https://www.sciencedirect.com/science/article/pii/S2215036626001276
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Author Notes:Jake Linardon, Joseph Firth, Andre F. Carvalho, Claudi L Bockting, Helen Christensen, Luiz Henrique Junqueira Dieckmann, Scott Griffiths, Sunil Gupta, Ulrich Hegerl, Kezhi Li, Claudia Liu, Michael Maes, Wolfgang Marx, Mariel Messer, Andreas Meyer-Lindenberg, Ives C. Passos, Petr Winkler, Xiaolong Zhang, Charlotte Blease, John Torous
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Summary:The use of artificial intelligence (AI) is anticipated to transform mental health care. However, the rapid research growth in this field has outpaced coordinated frameworks, leaving research efforts fragmented, standards inconsistent, and safeguards for safety and ethics largely absent. This Position Paper outlines a coordinated roadmap to guide the responsible evaluation and implementation of AI in mental health, structured across four overarching priority domains that define near-term actions and longer-term strategic goals. Domain 1 (Strengthen safety and evidence standards) addresses deficits in clinical evidence and safety oversight, emphasising the need for robust comparative trials, standardised safety testing, and adaptive regulatory frameworks. Domain 2 (Centre ethics, equity, and patient voices) focuses on aligning AI development with real-world care contexts through transparent reporting, integration of patient perspectives throughout the AI lifecycle, and the development of representative datasets and equitable governance structures. Domain 3 (Evolve the role of the clinician) addresses challenges in clinical integration, including defining core competencies, clarifying clinical oversight and accountability, and conceptualising and trialling new workforce models. Domain 4 (Facilitate sustainable implementation and systems integration) targets barriers to real-world adoption, including the importance of interoperability with clinical infrastructure and the development of sustainable financing and implementation pathways. This roadmap should support coordinated action across stakeholders and ensure that AI-based mental health systems are developed and implemented in line with principles of safety, equity, evidence, and clinical accountability.
Item Description:Online veröffentlicht: 9. Juli 2026, Artikelversion: 12. August 2026
Gesehen am 07.09.2026
Physical Description:Online Resource
ISSN:2215-0374
DOI:10.1016/S2215-0366(26)00127-6

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