ArticleAMA journal of ethics2018
Is It Ethical to Use Prognostic Estimates from Machine Learning to Treat Psychosis?
Article in AMA journal of ethics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled 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.
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
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Accuracy of machine learning methods in predicting prognosis of patients with psychotic spectrum disorders: a systematic review.BMJ open · 2025Pooled it
- Machine Learning and Natural Language Processing in Mental Health: Systematic Review.Journal of medical Internet research · 2021Pooled it
- 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
- Ethical and social issues in prediction of risk of severe mental illness: a scoping review and thematic analysis.BMC psychiatry · 2025Article
- Predicting Risk of Bullying Victimization among Primary and Secondary School Students: Based on a Machine Learning Model.Behavioral sciences (Basel, Switzerland) · 2024Article
- Artificial intelligence significantly facilitates development in the mental health of college students: a bibliometric analysis.Frontiers in psychology · 2024Article
- Immune moral models? Pro-social rule breaking as a moral enhancement approach for ethical AI.AI & society · 2023Article
- Out of their minds? Externalist challenges for using AI in forensic psychiatry.Frontiers in psychiatry · 2023Review
- Psychiatric genomics, mental health equity, and intersectionality: A framework for research and practice.Frontiers in psychiatry · 2022Article
- Ethical Development of Digital Phenotyping Tools for Mental Health Applications: Delphi Study.JMIR mHealth and uHealth · 2021Article
- Teasing out Artificial Intelligence in Medicine: An Ethical Critique of Artificial Intelligence and Machine Learning in Medicine.Journal of bioethical inquiry · 2021Article
- Ethical issues in using ambient intelligence in health-care settings.The Lancet. Digital health · 2021Review
- Human, All Too Human? An All-Around Appraisal of the "Artificial Intelligence Revolution" in Medical Imaging.Frontiers in psychology · 2021Review
- The benefit of foresight? An ethical evaluation of predictive testing for psychosis in clinical practice.NeuroImage. Clinical · 2020Article
- Key Considerations for Incorporating Conversational AI in Psychotherapy.Frontiers in psychiatry · 2019Article
- Use of artificial intelligence in forecasting glaucoma progression.Taiwan journal of ophthalmologyReview
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Machine learning is a method for predicting clinically relevant variables, such as opportunities for early intervention, potential treatment response, prognosis, and health outcomes. This commentary examines the following ethical questions about machine learning in a case of a patient with new onset psychosis: (1) When is clinical innovation ethically acceptable? (2) How should clinicians communicate with patients about the ethical issues raised by a machine learning predictive model?
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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.