Perspectives of Youths on the Ethical Use of Artificial Intelligence in Health Care Research and Clinical Care

被引:15
|
作者
Thai, Kelly [1 ,2 ]
Tsiandoulas, Kate H. [1 ]
Stephenson, Elizabeth A. [3 ,4 ]
Menna-Dack, Dolly [5 ]
Shaul, Randi Zlotnik [1 ,4 ]
Anderson, James A. [1 ,6 ]
Shinewald, Alexis R. [7 ]
Ampofo, Augustina [7 ]
McCradden, Melissa D. [1 ,2 ,8 ]
机构
[1] Hosp Sick Children, Dept Bioeth, Toronto, ON, Canada
[2] Peter Gilgan Ctr Res Learning, Genet & Genome Biol, Toronto, ON, Canada
[3] Hosp Sick Children, Labatt Family Heart Ctr, Toronto, ON, Canada
[4] Univ Toronto, Dept Paediat, Toronto, ON, Canada
[5] Holland Bloorview Kids Rehabil Hosp, Toronto, ON, Canada
[6] Univ Toronto, Inst Hlth Policy Management & Evaluat, Toronto, ON, Canada
[7] Hosp Sick Children, Toronto, ON, Canada
[8] Univ Toronto, Dalla Lana Sch Publ Hlth, Toronto, ON, Canada
关键词
PUBLIC-ATTITUDES; CONSENT; RECORD;
D O I
10.1001/jamanetworkopen.2023.10659
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] RESPONSIBLE AND ETHICAL USE OF ARTIFICIAL INTELLIGENCE IN RESEARCH AND PUBLISHING
    Pinchuk, Olha
    Malytska, Iryna
    INFORMATION TECHNOLOGIES AND LEARNING TOOLS, 2024, 100 (02) : 180 - 198
  • [42] Artificial intelligence in anesthesiology and ethical challenges in clinical research
    Bustos-Viviescas, Brian Johan
    Yerena, Carlos Enrique Garcia
    Navarro, Amalia Villamizar
    SALUD ARTE Y CUIDADO, 2025, 18 (01): : 75 - 76
  • [43] Public Attitudes Toward Notification of Use of Artificial Intelligence in Health Care
    Platt, Jodyn
    Nong, Paige
    Carmona, Gloria
    Kardia, Sharon
    JAMA NETWORK OPEN, 2024, 7 (12)
  • [44] Organizational Factors in Clinical Data Sharing for Artificial Intelligence in Health Care
    Youssef, Alaa
    Ng, Madelena Y.
    Long, Jin
    Hernandez-Boussard, Tina
    Shah, Nigam
    Miner, Adam
    Larson, David
    Langlotz, Curtis P.
    JAMA NETWORK OPEN, 2023, 6 (12) : E2348422
  • [45] Monitoring performance of clinical artificial intelligence in health care: a scoping review
    Andersen, Eline Sandvig
    Birk-Korch, Johan Baden
    Hansen, Rasmus Sogaard
    Fly, Line Haugaard
    Rottger, Richard
    Arcani, Diana Maria Cespedes
    Brasen, Claus Lohman
    Brandslund, Ivan
    Madsen, Jonna Skov
    JBI EVIDENCE SYNTHESIS, 2024, 22 (12) : 2423 - 2446
  • [46] Impact of Artificial Intelligence on Clinical Decision-Making in Health Care
    Maron, Jill L.
    CLINICAL THERAPEUTICS, 2022, 44 (06) : 825 - 826
  • [47] Ethical considerations in the use of artificial intelligence in mental health
    Uma Warrier
    Aparna Warrier
    Komal Khandelwal
    The Egyptian Journal of Neurology, Psychiatry and Neurosurgery, 59
  • [48] Ethical considerations in the use of artificial intelligence in mental health
    Warrier, Uma
    Warrier, Aparna
    Khandelwal, Komal
    EGYPTIAN JOURNAL OF NEUROLOGY PSYCHIATRY AND NEUROSURGERY, 2023, 59 (01):
  • [49] Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health
    Liaw, Winston R.
    Westfall, John M.
    Williamson, Tyler S.
    Jabbarpour, Yalda
    Bazemore, Andrew
    JMIR MEDICAL INFORMATICS, 2022, 10 (03)
  • [50] Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom
    Lee, Ellen E.
    Torous, John
    De Choudhury, Munmun
    Depp, Colin A.
    Graham, Sarah A.
    Kim, Ho-Cheol
    Paulus, Martin P.
    Krystal, John H.
    Jeste, Dilip, V
    BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING, 2021, 6 (09) : 856 - 864