Artificial intelligence in pediatric and adolescent medicine An interdisciplinary perspective

被引:0
作者
Kerth, Janna-Lina [1 ]
Heinrichs, Bert [2 ,3 ]
Bischops, Anne Christine [1 ]
Bruni, Tommaso [3 ]
Eickhoff, Simon B. [3 ,4 ]
Hagemeister, Maurus [1 ]
Hegger, Maren [5 ]
Henn, Alina Theresa [6 ]
Konrad, Kerstin [6 ,7 ]
Lugani, Katharina [5 ]
Reinhart, Lisa [1 ]
Meissner, Thomas [1 ]
机构
[1] Univ Kinikum Dusseldorf, Klin Allgemeine Padiatrie Neonatol & Kinderkardiol, Moorenstr 5, D-40225 Dusseldorf, Germany
[2] Forschungszentrum Julich, Inst Neurowissensch & Med Gehirn & Verhalten INM 7, Julich, Germany
[3] Univ Bonn, Inst Wissensch & Ethik IWE, Bonn, Germany
[4] Univ Klinikum Dusseldorf, Inst Syst Neurowissensch, Dusseldorf, Germany
[5] Univ Dusseldorf, Jurist Fak, Lehrstuhl Deutsch Europa & Int Privat & Verfahrens, Dusseldorf, Germany
[6] Uniklin Aachen, Klin Psychiat, Psychosomat & Psychotherapie Kindes & Jugendalters, Aachen, Germany
[7] Forschungszentrum Julich, JARA Inst Mol Neurosci & Neuroimaging INM 11, Julich, Germany
关键词
Benefit; Risk; Acceptance; Ethics; Law;
D O I
10.1007/s00112-025-02139-3
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
The rapid developments in the field of artificial intelligence (AI) are opening up numerous new diagnostic and therapeutic options in pediatric and adolescent medicine. At the same time, however, this development also raises a variety of questions. In this article, we highlight the factors that are important for the acceptance of AI in pediatrics and adolescent medicine and outline some ethical and legal challenges. An interdisciplinary perspective and a careful handling of concerns and fears is essential to meet these challenges and to take advantage of the opportunities that AI offers.
引用
收藏
页码:290 / 296
页数:6
相关论文
共 33 条
  • [1] Reinhart L., Bischops A.C., Kerth J.L., Et al., Artificial intelligence in child development monitoring: A systematic review on usage, outcomes and acceptance, Intell Based Med, 9, (2024)
  • [2] Balla Y., Tirunagari S., Windridge D., Pediatrics in Artificial Intelligence Era: A Systematic Review on Challenges, Opportunities, and Explainability, Indian Pediatr Indian Pediatr, 60, 7, pp. 561-569, (2023)
  • [3] Liang H., Tsui B.Y., Ni H., Et al., Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence, Nat Med, 25, 3, pp. 433-438, (2019)
  • [4] Kerth J.L., Hagemeister M., Bischops A.C., Et al., Artificial Intelligence in the Care of Children and Adolescents With Chronic Diseases. A Systematic Review
  • [5] Stade E.C., Stirman S.W., Ungar L., Et al., Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation, Npj Ment Health Res, 3, 1, (2024)
  • [6] Kohl S.H., Henn A.T., Fendel J.C., Et al., Digitale Hoffnungsträger?, Z Kinder Jugendpsychiatr Psychother, 52, 5, pp. 291-313, (2024)
  • [7] Norris M.L., Obeid N., El-Emam K., Examining the role of artificial intelligence to advance knowledge and address barriers to research in eating disorders, Int J Eat Disord, 57, 6, pp. 1357-1368, (2024)
  • [8] Schoenherr D., Paulick J., Worrack S., Et al., Quantification of nonverbal synchrony using linear time series analysis methods: Lack of convergent validity and evidence for facets of synchrony, Behav Res Methods, 51, pp. 361-383, (2019)
  • [9] Choudhury A., Urena E., NICU and PICU: A Need for Ecological Validity, Accountability, and Human Factors. Healthcare (Basel), Artif Intell, 10, 5, (2022)
  • [10] Fiske A., Henningsen P., Buyx A., Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy, J Med Internet Res, 21, (2019)