Evidence map›Paper›PMID 37919759›Full record

ArticleAnnals of general psychiatry2023

A shift in psychiatry through AI? Ethical challenges.

Saskia Wilhelmy, Giancarlo Giupponi, Dominik Groß, Klaus Eisendle, Andreas Conca

Abstract readLetter
In one paragraph

Article in Annals of general psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Artificial Intelligence in Healthcare and Psychiatry.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2025
    Article
  8. Article
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

5 authors.

Saskia WilhelmyInstitute for History, Theory and Ethics in Medicine, University Hospital, RWTH Aachen University, Wendlingweg 2, 5074, Aachen, Germany. swilhelmy@ukaachen.de.
Giancarlo GiupponiAcademic Teaching Department of Psychiatry, Central Hospital, Sanitary Agency of South Tyrol, Via Lorenz Böhler 5, 39100, Bolzano, Italy.
Dominik GroßInstitute for History, Theory and Ethics in Medicine, University Hospital, RWTH Aachen University, Wendlingweg 2, 5074, Aachen, Germany.
Klaus EisendleInstitute of General Practice and Public Health, Provincial College for Health Professions Claudiana, Lorenz-Böhler-Straße 13, 39100, Bolzano, Italy.
Andreas ConcaAcademic Teaching Department of Psychiatry, Central Hospital, Sanitary Agency of South Tyrol, Via Lorenz Böhler 5, 39100, Bolzano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The digital transformation has made its way into many areas of society, including medicine. While AI-based systems are widespread in medical disciplines, their use in psychiatry is progressing more slowly. However, they promise to revolutionize psychiatric practice in terms of prevention options, diagnostics, or even therapy. Psychiatry is in the midst of this digital transformation, so the question is no longer "whether" to use technology, but "how" we can use it to achieve goals of progress or improvement. The aim of this article is to argue that this revolution brings not only new opportunities but also new ethical challenges for psychiatry, especially with regard to safety, responsibility, autonomy, or transparency. As an example, the relationship between doctor and patient in psychiatry will be addressed, in which digitization is also leading to ethically relevant changes. Ethical reflection on the use of AI systems offers the opportunity to accompany these changes carefully in order to take advantage of the benefits that this change brings. The focus should therefore always be on balancing what is technically possible with what is ethically necessary.

Indexed as

Artificial intelligenceBioethicsDigital transformationPatient–physician relationshipPsychiatry

Identifiers

PMID37919759
PMCPMC10623776

What OpenQuestion holds

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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.