ArticleBulletin of the World Health Organization2020
Ethical dilemmas posed by mobile health and machine learning in psychiatry research.
Article in Bulletin of the World Health Organization, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis 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
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The impact of spiritual care on the psychological health and quality of life of adults with heart failure: a systematic review of randomized trials.Frontiers in medicine · 2024Pooled it
- Artificial Intelligence Applications in Mental Health: A Systematic Review of Clinical Practice, Educational Transformation, and Ethical Governance.Healthcare (Basel, Switzerland) · 2026Review
- Feasibility and Acceptability of a Smartphone and Wearable Assessment Protocol for Adolescents with Depression.Research on child and adolescent psychopathology · 2026Article
- AI Applications Integrating Legal and Regulatory Perspectives in Mental Health: Systematic Review.JMIR AI · 2026Review
- Putting equity first: reorienting artificial intelligence for population-level postpartum depression prevention.Frontiers in public health · 2026Article
- Ethical integration of patient-reported outcomes and digital biomarkers in AI healthcare models: an expert consensus framework.Frontiers in digital health · 2026Article
- Smartphones as Catalysts for Synergistic Nutrition: A New Era in Bioactive Detection, Personalization, and Food System Intelligence.Food science & nutrition · 2025Review
- Challenges and implications of the use of artificial intelligence in health care, with an emphasis on nursing. Scoping review.Investigacion y educacion en enfermeria · 2025Article
- Ethical decision-making for AI in mental health: the Integrated Ethical Approach for Computational Psychiatry (IEACP) framework.Psychological medicine · 2025Review
- FRAILSURVEY-an mHealth App for Self-Assessment of Frailty Based on the Portuguese Version of the Groningen Frailty Indicator: Validation and Reliability Study.JMIR formative research · 2025Article
- Article
- A shift in psychiatry through AI? Ethical challenges.Annals of general psychiatry · 2023Article
- Capturing mood dynamics through adolescent smartphone social communication.Journal of psychopathology and clinical science · 2023Article
- Patient Engagement in a Multimodal Digital Phenotyping Study of Opioid Use Disorder.Journal of medical Internet research · 2023Article
- Specific challenges posed by artificial intelligence in research ethics.Frontiers in artificial intelligence · 2023Review
- Ethical Issues in the Use of Smartphone Apps for HIV Prevention in Malaysia: Focus Group Study With Men Who Have Sex With Men.JMIR formative research · 2022Article
- Using Smartphone Sensor Paradata and Personalized Machine Learning Models to Infer Participants' Well-being: Ecological Momentary Assessment.Journal of medical Internet research · 2022Article
- Technology-Based Mental Health Interventions for Domestic Violence Victims Amid COVID-19.International journal of environmental research and public health · 2022Review
- The relationship between text message sentiment and self-reported depression.Journal of affective disorders · 2022Observational
- Impact of online mental health screening tools on help-seeking, care receipt, and suicidal ideation and suicidal intent: Evidence from internet search behavior in a large U.S. cohort.Journal of psychiatric research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
The application of digital technology to psychiatry research is rapidly leading to new discoveries and capabilities in the field of mobile health. However, the increase in opportunities to passively collect vast amounts of detailed information on study participants coupled with advances in statistical techniques that enable machine learning models to process such information has raised novel ethical dilemmas regarding researchers' duties to: (i) monitor adverse events and intervene accordingly; (ii) obtain fully informed, voluntary consent; (iii) protect the privacy of participants; and (iv) increase the transparency of powerful, machine learning models to ensure they can be applied ethically and fairly in psychiatric care. This review highlights emerging ethical challenges and unresolved ethical questions in mobile health research and provides recommendations on how mobile health researchers can address these issues in practice. Ultimately, the hope is that this review will facilitate continued discussion on how to achieve best practice in mobile health research within psychiatry.
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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.