Trial reportAJOB neuroscience
The Influence of Using Novel Predictive Technologies on Judgments of Stigma, Empathy, and Compassion among Healthcare Professionals.
Trial report in AJOB neuroscience. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Mapping the role of artificial intelligence in health-related stigma: a scoping review.NPJ digital medicine · 2026Article
- Ethical considerations in the clinical application of prediction tools for severe mental disorders: perspectives from child and adolescent psychiatrists.Global bioethics = Problemi di bioetica · 2026Article
- From stigma to support: the mediating role of sympathy between nurses' perceived stigma and helping behavior tendency for alcohol use disorder.Frontiers in psychiatry · 2026Article
- Ethical and social issues in prediction of risk of severe mental illness: a scoping review and thematic analysis.BMC psychiatry · 2025Article
- Key Terms and Concepts in Alcohol Use and Problems: A Critical Evaluation.Substance use : research and treatmentArticle
Corrections and comments
- Commented on by
- Commented on by
- Commented on by
Authors and funding
7 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOur objective was to evaluate whether the description of a machine learning (ML) app or brain imaging technology to predict the onset of schizophrenia or alcohol use disorder (AUD) influences healthcare professionals' judgments of stigma, empathy, and compassion.
methodsWe randomized healthcare professionals (
resultsParticipants randomized to the ML vignette endorsed less anger and more fear relative to the psychosocial vignette, and the brain imaging vignette elicited higher pity ratings. The brain imaging and ML vignettes evoked lower personal responsibility judgments compared to the psychosocial vignette. Physicians and nurses reported less empathy than clinical psychologists.
conclusionsThe use of predictive technologies may reinforce essentialist views about mental health and substance use that may increase specific aspects of stigma and reduce others.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.