Evidence map›Paper›PMID 42542950›Full record

ArticleJournal of evaluation in clinical practice2026

The Other Side of the Stethoscope: Clinician-Facing Deepfakes and the Symmetry of Synthetic Deception.

George Rugare Chingarande

Abstract read
In one paragraph

Article in Journal of evaluation in clinical practice, 2026. 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

1 author.

George Rugare ChingarandeStellenbosch University Faculty of Medicine and Health Sciences, Division of Medical Ethics and Law, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-9456-9876

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical ethics scholarship on deepfakes has focused primarily on patients as targets of synthetic deception, in which fabricated audiovisual material alters patient beliefs about clinicians and care. This focus neglects the reverse epistemic vulnerability: clinicians themselves as recipients of synthetic, adversarially generated clinical information.

objectiveTo develop a conceptual analysis of clinician-facing deepfakes and their implications for clinical epistemology, diagnostic reasoning, and institutional trust.

methodsNormative and conceptual analysis drawing on virtue epistemology, philosophy of testimony, diagnostic error theory, automation bias research, and socio-technical systems theory.

resultsClinician-facing deepfakes constitute a distinct epistemic risk category producing three primary harms: (1) diagnostic error cascades, (2) testimonial contamination of clinical knowledge transmission, and (3) institutional epistemic fragility. We introduce the concept of epistemic role reversal, defined as the systematic decoupling of perceptual reliability from epistemic justification under adversarially generated clinical inputs, resulting in the collapse of expert perceptual advantage in bounded domains.

conclusionsClinical ethics must address both sides of the epistemic encounter in medicine. Clinician-facing deepfakes are not merely a symmetrical extension of patient-facing deception but a structurally distinct class of epistemic threat. While empirical prevalence remains unknown, evidence from adjacent literatures supports their plausibility. A precautionary framework of clinical epistemic hygiene is therefore warranted, combining institutional verification infrastructure, workflow-level safeguards, and professional epistemic norms adapted to adversarial information environments.

Indexed as

Audiovisual AidsDeceptionEthics, ClinicalDiagnostic ErrorsHumansKnowledgePhysician-Patient RelationsTrustautomation biasclinical epistemologydeepfakesdiagnostic errorepistemic trustpatient safetyprecautionary principlesynthetic media

Identifiers

PMID42542950
PMCPMC13429032

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Registered trials

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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.