Is it ethical to use prognostic estimates from machine learning to treat psychosis

The Belmont Report: ethical principles and guidelines for the protection of human subjects of research

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Implementing Machine Learning in Health Care — Addressing Ethical Challenges

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Machine Learning for Precision Psychiatry: Opportunities and Challenges

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Improving outcomes of first‐episode psychosis: an overview

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Altering the course of schizophrenia: progress and perspectives

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Machine Learning and the Profession of Medicine

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Informed consent for clinical treatment: Figure 1:

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Machine learning, statistical learning and the future of biological research in psychiatry

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The legal and ethical concerns that arise from using complex predictive analytics in health care

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Informed Consent and the Capacity for Voluntarism

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Multisite prediction of 4-week and 52-week treatment outcomes in patients with first-episode psychosis: a machine learning approach

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Early intervention in psychosis

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Assessment of Healthcare Decision-making Capacity

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Psychiatric research ethics: an overview of evolving guidelines and current ethical dilemmas in the study of mental illness

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The exclusion of people with psychiatric disorders from medical research

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Reviews: Emerging Empirical Evidence on the Ethics of Schizophrenia Research

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Why Do Some Patients With Schizophrenia Want to Be Engaged in Medical Decision Making and Others Do Not?

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Antipsychotic pharmacogenomics in first episode psychosis: a role for glutamate genes

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The ethics of clinical innovation in psychopharmacology: Challenging traditional bioethics

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Early intervention in psychosis

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Emerging Empirical Evidence on the Ethics of Schizophrenia Research

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Machine learning and natural language processing in mental health: systematic review

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Key Considerations for Incorporating Conversational AI in Psychotherapy

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Ethical issues in using ambient intelligence in health-care settings

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Ethical Development of Digital Phenotyping Tools for Mental Health Applications: Delphi Study

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Teasing out Artificial Intelligence in Medicine: An Ethical Critique of Artificial Intelligence and Machine Learning in Medicine

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Human, All Too Human? An All-Around Appraisal of the “Artificial Intelligence Revolution” in Medical Imaging

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Annual Research Review: Translational machine learning for child and adolescent psychiatry

Dwyer, D., & Koutsouleris, N. (2022) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.13545 · Cited by 65 · see citing works

Computing schizophrenia: ethical challenges for machine learning in psychiatry

Starke, G., De Clercq, E., Borgwardt, S., & Elger, B. S. (2021) · Psychological Medicine · doi:10.1017/s0033291720001683 · Cited by 62 · see citing works

Artificial intelligence significantly facilitates development in the mental health of college students: a bibliometric analysis

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Immune moral models? Pro-social rule breaking as a moral enhancement approach for ethical AI

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Predicting Risk of Bullying Victimization among Primary and Secondary School Students: Based on a Machine Learning Model

Qiu, T., Wang, S., Hu, D., Feng, N., & Cui, L. (2024) · Behavioral Sciences · doi:10.3390/bs14010073 · Cited by 22 · see citing works

Psychiatric genomics, mental health equity, and intersectionality: A framework for research and practice

Brown, J. E. H., Young, J. L., & Martinez‐Martin, N. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.1061705 · Cited by 18 · see citing works

Out of their minds? Externalist challenges for using AI in forensic psychiatry

Starke, G., D’Imperio, A., & Ienca, M. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1209862 · Cited by 18 · see citing works

Use of artificial intelligence in forecasting glaucoma progression

Thakur, S., Dinh, L. L., Lavanya, R., Quek, T. C., Liu, Y., & Cheng, C. (2023) · Taiwan Journal of Ophthalmology · doi:10.4103/tjo.tjo-d-23-00022 · Cited by 14 · see citing works

Trusting the bot: Addressing the ethical challenges of consumer digital mental health therapy

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Artificial intelligence in psychiatry, present trends, and challenges: An updated review

Avula, V. C. R., & Amalakanti, S. (2023) · Archives of Mental Health · doi:10.4103/amh.amh_167_23 · Cited by 14 · see citing works

The benefit of foresight? An ethical evaluation of predictive testing for psychosis in clinical practice

Lane, N. M., Hunter, S. A., & Lawrie, S. M. (2020) · NeuroImage: Clinical · doi:10.1016/j.nicl.2020.102228 · Cited by 11 · see citing works

Zwischen Automatisierung und ethischem Anspruch – Disruptive Effekte des KI-Einsatzes in und auf Professionen der Gesundheitsversorgung

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Accuracy of machine learning methods in predicting prognosis of patients with psychotic spectrum disorders: a systematic review

Tay, J. L., Ang, Y. L., Tam, W., & Sim, K. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-084463 · Cited by 8 · see citing works

Ethical and social issues in prediction of risk of severe mental illness: a scoping review and thematic analysis

Neiders, I., Mežinska, S., & van Haren, N. E. M. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-06949-3 · Cited by 9 · see citing works

Artificial Intelligence-Based Technological Advancements in Clinical Healthcare Applications: A Systematic Review

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Digital Technology in Healthcare—An Ethical Overview

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The Emperor’s New Clothes? Transparency and Trust in Machine Learning for Clinical Neuroscience

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KI gestern und heute

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Ethical, Legal, and Social Issues (ELSI) in Mental Health Informatics

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Künstliche Intelligenz und Gesundheit. Ethische, philosophische und sozialwissenschaftliche Explorationen

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Ethics of Artificial Intelligence: Implications for Primary Care and Family Medicine Residency Programs

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Biomedical Advances: Neuroinnovation and Technology

Martinez‐Martin, N. (2023) · Springer eBooks · doi:10.1007/978-3-031-14339-7_5 · Cited by 1 · see citing works

Developing mental health AI tools that improve care across different groups and contexts

Martinez‐Martin, N. (2025) · Nature Computational Science · doi:10.1038/s43588-025-00882-x · Cited by 1 · see citing works

Passive Diagnosis of Mental Health Disorders Incorporating an Empathic Dialogue SystemPreprint

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Passive diagnosis of mental health disorders administered through an emphatic dialogue system (Preprint)Preprint

Delahunty, F., Johansson, R., & Arčan, M. (2019) · doi:10.2196/preprints.16918

Ethical considerations in the clinical application of prediction tools for severe mental disorders: perspectives from child and adolescent psychiatrists

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Facing Data Scarcity in Dialogues for Discourse Structure Discovery and Prediction

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Computing schizophrenia: ethical challenges for machine learning in psychiatry

Starke, G., De Clercq, E., Borgwardt, S., & Elger, B. S. (2021) · Psychological Medicine · doi:10.1017/s0033291720001683 · Cited by 62 · see citing works

The promise of machine learning in predicting treatment outcomes in psychiatry

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Towards personalised predictive psychiatry in clinical practice: an ethical perspective

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Machine Learning in Practice—Clinical Decision Support, Risk Prediction, Diagnosis

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The ethics of identifying and treating psychosis risk

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