Evidence map›Paper›PMID 40754806›Full record

ArticleEuropean psychiatry : the journal of the Association of European Psychiatrists2025

Use of Artificial Intelligence in Psychiatric Research and Practice: A Qualitative Interview Study with Experts from Psychiatry, Computer Science and Philosophy in Germany.

Eike Buhr, Marc Fischer, Olga Biernetzky, Stefan Teipel, Oliver Gruber, Mark Schweda

Abstract read
In one paragraph

Article in European psychiatry : the journal of the Association of European Psychiatrists, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

6 authors.

Eike BuhrEthics in Medicine, https://ror.org/033n9gh91Carl von Ossietzky University of Oldenburg, Oldenburg, Germany.ORCID 0000-0003-2869-0827
Marc FischerSection for Experimental Psychopathology and Neuroimaging, https://ror.org/038t36y30Ruprecht Karl University of Heidelberg, Heidelberg, Germany.ORCID 0009-0002-7382-4011
Olga BiernetzkyDepartment of Psychosomatic Medicine, University Medicine Rostock, Rostock, Germany.ORCID 0000-0002-7159-4294
Stefan TeipelDepartment of Psychosomatic Medicine, University Medicine Rostock, Rostock, Germany.ORCID 0000-0002-3586-3194
Oliver GruberSection for Experimental Psychopathology and Neuroimaging, https://ror.org/038t36y30Ruprecht Karl University of Heidelberg, Heidelberg, Germany.ORCID 0000-0003-1841-7413
Mark SchwedaEthics in Medicine, https://ror.org/033n9gh91Carl von Ossietzky University of Oldenburg, Oldenburg, Germany.ORCID 0000-0003-3270-6561

Funding

Bundesministerium für Bildung und Forschung 01GP2216A-C
6 · The paper itself

Abstract

backgroundThe use of artificial intelligence (AI) in psychiatry holds promise for diagnosis, therapy, and the categorization of mental disorders. At the same time, it raises significant theoretical and ethical concerns. The debate appears polarized, with proponents and critics seemingly irreconcilably opposed. On the one hand, AI is heralded as a transformative force poised to revolutionize psychiatric research and practice. On the other hand, it is depicted as a harbinger of dehumanization. To better understand this dichotomy, it is essential to identify and critically examine the underlying arguments. To what extent does the use of AI challenge the theoretical assumptions of psychiatric diagnostics? What implications does it have for patient care, and how does it influence the professional self-concept of psychiatrists?

methodsTo explore these questions, we conducted 15 semi-structured interviews with experts from psychiatry, computer science, and philosophy. The findings were analyzed using a structuring qualitative content analysis.

resultsThe analysis focuses on the significance of AI for psychiatric diagnosis and care, as well as on its implications for the identity of psychiatry. We identified different lines of argument suggesting that expert views on AI in psychiatry hinge on the types of data considered relevant and on whether core human capacities in diagnosis and treatment are viewed as replicable by AI.

conclusionsThe results provide a mapping of diverse perspectives, offering a basis for more detailed analysis of theoretical and ethical issues of AI in psychiatry, as well as for the adaptation of psychiatric education.

Indexed as

Artificial IntelligenceMental DisordersPhilosophy, MedicalPsychiatryAdultFemaleGermanyHumansMaleQualitative Researchartificial intelligencedementiadepressionethicsqualitative interview study

Identifiers

PMID40754806
PMCPMC12438977

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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.