Hauptseite > Publikationsdatenbank > AI-based health technologies in pediatrics: a review of the ethical issues > print

001     1031810
005     20241015205349.0
037 _ _ |a FZJ-2024-05829
100 1 _ |a Bruni, Tommaso
|0 P:(DE-Juel1)196671
|b 0
|e Corresponding author
|u fzj
111 2 _ |a Jahrestagung der Akademie für Ethik in der Medizin (AEM)
|c Tübingen
|d 2024-09-26 - 2024-09-28
|w Germany
245 _ _ |a AI-based health technologies in pediatrics: a review of the ethical issues
260 _ _ |c 2024
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a LECTURE_SPEECH
|2 ORCID
336 7 _ |a Conference Presentation
|b conf
|m conf
|0 PUB:(DE-HGF)6
|s 1728971975_20549
|2 PUB:(DE-HGF)
|x Invited
500 _ _ |a Workshop: AI-Based Technologies in Pediatric Healthcare – Interdisciplinary Perspectives, organisiert durch das BMBF-geförderte AI-PHCA Forschungsprojekt
520 _ _ |a Several AI-based technologies could be applied to pediatric healthcare soon: smartphone appsand web-based software to be used by young patients or their parents, as well as technologiesthat support doctors in their work, e.g. in writing doctor’s letters, searching medical literature,making a diagnosis, or selecting a treatment plan.The BMBF-funded interdisciplinary research project AI-PHCA (KI-basierte Gesundheitsvorsorgebei Kindern und Jugendlichen) examines the social, ethical, and legal conditions under whichartificial intelligence (AI) could be applied in pediatrics in the next years, with a focus on preven-tative purposes. It involves four partner institutions (based in Jülich, Düsseldorf, and Aachen) andfeatures the cooperation of pediatricians, child psychiatrists, neuroscientists, ethicists, and legalscholars. In the planned satellite workshop, we would like to present the first findings of AI-PHCAand discuss them with the participants in the AEM Annual Meeting.On the one hand, three empirical sub-projects investigate the opinions, expectations and con-cerns of minor patients, their parents and healthcare professionals regarding the use of AI inpediatric care by deploying empirical methods such as questionnaires and focus groups. System-atic reviews of the extant literature about pediatric AI use and attitudes toward it are also carriedout. Moreover, behavioral experiments are conducted to identify some of the factors that couldinfluence these opinions and perspectives.On the other hand, the ethical and legal sub-projects constitute the regulatory and normative partof the project. The ethical subproject first examines the current literature on the ethics of medicalAI to check whether and to what extent those discussions and debates can be applied to pediatriccare. The overall aim of the ethical sub-project is to generate an ethical framework that is suitableto the use of AI in pediatrics. The legal subproject first reconstructs the current legal frameworkin which AI could be deployed in pediatrics today, with a particular focus on Germany and the EU.Key parts of this framework are the General Data Protection Regulation (GDPR) and the AI Actthat the EU institutions just passed. Once this reconstruction is done, this sub-project will proceedto highlight potential weaknesses, tensions or obscurities in the existing regulations and makeproposals for streamlining and editing.The topic of the AI-PHCA project falls directly within the range of issues addressed at this year'sAEM Annual Meeting. The project deals with one of the problems that the Annual Meeting en-deavors to tackle: the technologization of the healthcare sector. The satellite workshop can there-fore make an important contribution to the Annual Meeting. At the same time, the AEM AnnualMeeting offers an excellent forum for discussing the topics of the AI-PHCA project with relevantexperts.
536 _ _ |a 5255 - Neuroethics and Ethics of Information (POF4-525)
|0 G:(DE-HGF)POF4-5255
|c POF4-525
|f POF IV
|x 0
909 C O |o oai:juser.fz-juelich.de:1031810
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910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)196671
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5255
|x 0
914 1 _ |y 2024
920 1 _ |0 I:(DE-Juel1)INM-7-20090406
|k INM-7
|l Gehirn & Verhalten
|x 0
980 _ _ |a conf
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)INM-7-20090406
980 _ _ |a UNRESTRICTED

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