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Static Future Technologies, Dynamic Professionalism — Co-creating Future Scenarios in Medical Imaging Practices

2023·4 Zitationen·Postdigital Science and EducationOpen Access
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4

Zitationen

4

Autoren

2023

Jahr

Abstract

Abstract New magnetic resonance imaging (MRI) techniques that offer faster scanning and potential artificial intelligence-assisted interpretation and diagnosis can significantly impact existing workflows in radiology. In a qualitative study embedded within a responsible research and innovation design, we investigate the development and potential implementation of quantitative MRI. We aim to investigate postdigital MRI futures, covered by scenarios of potential workflows, as well as the resulting implications for professions and related education involved in the MRI process. Furthermore, we examine the related and changing responsibilities, more specifically reflecting on ‘forward-looking responsibilities’. Through expert interviews ( n = 20) and a focus group, stakeholder perspectives on the future of quantitative imaging techniques were explored. During a subsequent co-creation workshop and another focus group, stakeholders reflected on future scenarios in quantitative MRI. Our study shows that a proactive and future-oriented investigation of the influence of emerging technologies on potential workflows and subsequent changes in expertise and roles help in gaining or increasing awareness about the wider impact of a technology developed to contribute to faster and quantitative MRI exams. We argue that anticipating postdigital worlds by reflecting on future responsibilities through the co-creation of imaginaries can help making uncertain futures tangible in other ways.

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Institutionen

Themen

Artificial Intelligence in Healthcare and EducationBiomedical and Engineering EducationCOVID-19 diagnosis using AI
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