ArticleJAMA network open2023
Perspectives of Youths on the Ethical Use of Artificial Intelligence in Health Care Research and Clinical Care.
Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Experiences and perspectives of children and adolescents participating in pediatric clinical trials: a qualitative evidence synthesis.Archives of public health = Archives belges de sante publique · 2026Pooled it
- Children and adolescents' views on artificial intelligence in pediatric healthcare: a qualitative focus group study.BMC pediatrics · 2026Article
- Patient-Initiated Permanent Deletion of Their Electronic Health Record Data: implications for Artificial Intelligence and Big Data in Healthcare : Clyde T. Matava, MBChB, MMed, MHSc.Journal of medical systems · 2026Article
- Dentists' awareness of data security and ethical issues during the transition to artificial intelligence-driven clinical practice.Acta odontologica Scandinavica · 2026Article
- Virtual Intervention for Binge Eating (VIBE): Study protocol for a user-informed mobile intervention for dysregulated eating and weight gain prevention in adolescents.Contemporary clinical trials · 2026Article
- Toward governance of artificial intelligence in pediatric healthcare.NPJ digital medicine · 2025Review
- Public trust of AI in healthcare in South Africa: results of a survey.BMC medical ethics · 2025Article
- Parental, Patient, and Provider Perspectives on the Use of Artificial Intelligence in Pediatric Care.Academic pediatrics · 2025Review
- [Artificial intelligence in preventive medicine for children and adolescents-applications and acceptance].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025Review
- Artificial Intelligence in Pediatric Epilepsy Detection: Balancing Effectiveness With Ethical Considerations for Welfare.Health science reports · 2025Article
- Applied artificial intelligence for global child health: Addressing biases and barriers.PLOS digital health · 2024Review
- Perceptions and attitudes of nurse practitioners toward artificial intelligence adoption in health care.Health science reports · 2024Article
- Digital tools for youth health promotion: principles, policies and practices in sub-Saharan Africa.Health promotion international · 2024Article
- Article
- Knowledge, Attitude and Perception Regarding Artificial Intelligence in Periodontology: A Questionnaire Study.Cureus · 2023Article
- Exploring the needs of children and caregivers to inform design of an artificial intelligence-enhanced social robot in the pediatric emergency department.Journal of clinical and translational science · 2023Article
Corrections and comments
- Commented on by
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Understanding the views and values of patients is of substantial importance to developing the ethical parameters of artificial intelligence (AI) use in medicine. Thus far, there is limited study on the views of children and youths. Their perspectives contribute meaningfully to the integration of AI in medicine. Objective: To explore the moral attitudes and views of children and youths regarding research and clinical care involving health AI at the point of care. Design, Setting, and Participants: This qualitative study recruited participants younger than 18 years during a 1-year period (October 2021 to March 2022) at a large urban pediatric hospital. A total of 44 individuals who were receiving or had previously received care at a hospital or rehabilitation clinic contacted the research team, but 15 were found to be ineligible. Of the 29 who consented to participate, 1 was lost to follow-up, resulting in 28 participants who completed the interview. Exposures: Participants were interviewed using vignettes on 3 main themes: (1) health data research, (2) clinical AI trials, and (3) clinical use of AI. Main Outcomes and Measures: Thematic description of values surrounding health data research, interventional AI research, and clinical use of AI. Results: The 28 participants included 6 children (ages, 10-12 years) and 22 youths (ages, 13-17 years) (16 female, 10 male, and 3 trans/nonbinary/gender diverse). Mean (SD) age was 15 (2) years. Participants were highly engaged and quite knowledgeable about AI. They expressed a positive view of research intended to help others and had strong feelings about the uses of their health data for AI. Participants expressed appreciation for the vulnerability of potential participants in interventional AI trials and reinforced the importance of respect for their preferences regardless of their decisional capacity. A strong theme for the prospective use of clinical AI was the desire to maintain bedside interaction between the patient and their physician. Conclusions and Relevance: In this study, children and youths reported generally positive views of AI, expressing strong interest and advocacy for their involvement in AI research and inclusion of their voices for shared decision-making with AI in clinical care. These findings suggest the need for more engagement of children and youths in health care AI research and integration.
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.