Evidence map›Paper›PMID 38981659›Full record

ArticleJournal of medical ethics2025

Promising for patients or deeply disturbing? The ethical and legal aspects of deepfake therapy.

Saar Hoek, Suzanne Metselaar, Corrette Ploem, Marieke Bak

Abstract read
In one paragraph

Article in Journal of medical ethics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Saar HoekLaw Centre for Health and Life, Faculty of Law, University of Amsterdam, Amsterdam, Netherlands.
Suzanne MetselaarDepartment of Ethics, Law & Humanities, Amsterdam UMC, Amsterdam, Netherlands.
Corrette PloemLaw Centre for Health and Life, Faculty of Law, University of Amsterdam, Amsterdam, Netherlands.
Marieke BakDepartment of Ethics, Law & Humanities, Amsterdam UMC, Amsterdam, Netherlands marieke.bak@amsterdamumc.nl.ORCID http://orcid.org/0000-0003-0655-0743

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deepfakes are hyper-realistic but fabricated videos created with the use of artificial intelligence. In the context of psychotherapy, the first studies on using deepfake technology are emerging, with potential applications including grief counselling and treatment for sexual violence-related trauma. This paper explores these applications from the perspective of medical ethics and health law. First, we question whether deepfake therapy can truly constitute good care. Important risks are dangerous situations or 'triggers' to the patient during data collection for the creation of a deepfake, and when deepfake therapy is started, there are risks of overattachment and blurring of reality, which can complicate the grieving process or alter perceptions of perpetrators. Therapists must mitigate these risks, but more research is needed to evaluate deepfake therapy's efficacy before it can be used at all. Second, we address the implications for the person depicted in the deepfake. We describe how privacy and portrait law apply and argue that the legitimate interests of those receiving therapy should outweigh the interests of the depicted, as long as the therapy is an effective and 'last resort' treatment option, overseen by a therapist and the deepfakes are handled carefully. We suggest specific preventative measures that can be taken to protect the depicted person's privacy. Finally, we call for qualitative research with patients and therapists to explore dependencies and other unintended consequences. In conclusion, while deepfake therapy holds promise, the competing interests and ethicolegal complexities demand careful consideration and further investigation alongside the development and implementation of this technology.

Indexed as

Artificial IntelligencePsychotherapyVideo RecordingEthics, MedicalGriefHumansPrivacySex OffensesEthicsInformation TechnologyLawMental Health

Identifiers

PMID38981659
PMCPMC12322411

What OpenQuestion holds

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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.