Anticipating Moral and Economic Considerations, Opportunities, and Potential Frictions for AI in Medical Imaging: Multistakeholder Cocreation Study

Reflecting on the 7 emerging themes, we identify three overarching topics: (1) human-AI collaboration and trust, (2) governance, regulation, and ethical safeguards, and (3) value creation and sustainability. These topics highlight the need to balance technological advancements with ethical responsibility, institutional accountability, and societal benefit. They also underscore the importance of designing AI systems that not only perform well but are also trusted and aligned with clinical workflows and patient values. These overarching themes offer a lens through which future research and policy can navigate the complex interplay between innovation, regulation, and real-world implementation. Future research is needed to validate the generalizability of the results across various countries and health care settings.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2026-02-25
DOI
https://doi.org/10.2196/83407
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Anticipating Moral and Economic Considerations, Opportunities, and Potential Frictions for AI in Medical Imaging: Multistakeholder Cocreation Study

Alessandro Sbrizzi, Susan van Hees, Alexandra Keyser, Martin Bastiaan Schilder et al.
Journal of Medical Internet Research
Artificial Intelligence in Healthcare and Education
article

Anticipating Moral and Economic Considerations, Opportunities, and Potential Frictions for AI in Medical Imaging: Multistakeholder Cocreation Study

Alessandro Sbrizzi, Susan van Hees, Alexandra Keyser, Martin Bastiaan Schilder, Wouter Pieter Christiaan Boon
article en

Abstract

Reflecting on the 7 emerging themes, we identify three overarching topics: (1) human-AI collaboration and trust, (2) governance, regulation, and ethical safeguards, and (3) value creation and sustainability. These topics highlight the need to balance technological advancements with ethical responsibility, institutional accountability, and societal benefit. They also underscore the importance of designing AI systems that not only perform well but are also trusted and aligned with clinical workflows and patient values. These overarching themes offer a lens through which future research and policy can navigate the complex interplay between innovation, regulation, and real-world implementation. Future research is needed to validate the generalizability of the results across various countries and health care settings.

Journal of Medical Internet ResearchVol. 28
Utrecht University (NL), Heidelberg University (DE), University Hospital Heidelberg (DE), University Medical Center Utrecht (NL)
Industry, innovation and infrastructure
Openalex Percentile: Top 45%
Artificial Intelligence in Healthcare and Education
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