Publications by authors named "E L M Maeckelberghe"

Cardiovascular diseases, both inherited and familial, indicate a risk of early and preventable cardiovascular events for relatives of affected individuals. A digital risk-prediction tool that enables general population individuals to evaluate their cardiovascular risk based on family health history could be a responsible approach to facilitate early detection and improve public health, but development and use of such a tool is not without legal and ethical requirements. At the start of tool development, experts addressed potential legal and ethical implications.

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Background: Increasingly, researchers are involving children and young people in designing paediatric research agendas, but as far as we were able to determine, only one report exists on the academic impact of such an agenda. In our opinion, the importance of insight into the impact of research agendas designed together with children and young people cannot be overstated. The first aim of our study was therefore to develop a method to describe the academic impact of paediatric research agendas.

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This paper motivates institutional epistemic trust as an important ethical consideration informing the responsible development and implementation of artificial intelligence (AI) technologies (or AI-inclusivity) in healthcare. Drawing on recent literature on epistemic trust and public trust in science, we start by examining the conditions under which we can have institutional epistemic trust in AI-inclusive healthcare systems and their members as providers of medical information and advice. In particular, we discuss that institutional epistemic trust in AI-inclusive healthcare depends, in part, on the reliability of AI-inclusive medical practices and programs, its knowledge and understanding among different stakeholders involved, its effect on epistemic and communicative duties and burdens on medical professionals and, finally, its interaction and alignment with the public's ethical values and interests as well as background sociopolitical conditions against which AI-inclusive healthcare systems are embedded.

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Introduction: There is a growing consensus that children and young people (CYP) should be involved in matters that concern them. Progress is made in involving CYP in developing pediatric research agendas (PRAs), although the impact of their involvement remains unknown. We aimed to evaluate the impact of involving CYP in developing PRAs and assess the extent to which postpatient and public involvement (post-PPI) activities were planned.

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With the introduction of Next Generation Sequencing (NGS) techniques increasing numbers of disease-associated variants are being identified. This ongoing progress might lead to diagnoses in formerly undiagnosed patients and novel insights in already solved cases. Therefore, many studies suggest introducing systematic reanalysis of NGS data in routine diagnostics.

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