AIMC Topic: Stakeholder Participation
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Stakeholder Perspectives on Trustworthy AI for Parkinson Disease Management Using a Cocreation Approach: Qualitative Exploratory Study.
Journal of medical Internet research
Aug 6, 2025
BACKGROUND: Parkinson disease (PD) is the fastest-growing neurodegenerative disorder in the world, with prevalence expected to exceed 12 million by 2040, which poses significant health care and societal challenges. Artificial intelligence (AI) system...
Developing an AI Governance Framework for Safe and Responsible AI in Health Care Organizations: Protocol for a Multimethod Study.
JMIR research protocols
Jul 28, 2025
BACKGROUND: Artificial intelligence (AI) has the potential to improve health care delivery through enhanced diagnostics, streamlined operations, and predictive analytics. However, health care organizations face substantial challenges in implementing ...
Improving AI-Based Clinical Decision Support Systems and Their Integration Into Care From the Perspective of Experts: Interview Study Among Different Stakeholders.
JMIR medical informatics
Jul 7, 2025
BACKGROUND: Artificial intelligence (AI)-based systems are receiving increasing attention in the health care sector. While the use of AI is well advanced in some medical applications, such as image recognition, it is still in its infancy in others, s...
Exploring the social dimensions of AI integration in healthcare: a qualitative study of stakeholder views on challenges and opportunities.
BMJ open
Jun 27, 2025
OBJECTIVES: This study aimed to investigate the opportunities and challenges associated with integrating artificial intelligence (AI) in healthcare by exploring the perspectives of various stakeholders. The objective was to provide a nuanced understa...
Engaging Stakeholders With Professional or Lived Experience to Improve Firearm Violence Lexicon Development.
JMIR formative research
Apr 21, 2025
Framing the public health burden of firearm violence should include people with secondary exposure to firearm violence beyond acute bodily injury, yet such data are limited. Electronic health record clinical notes, when leveraged through natural lang...
Stakeholder Attitudes on AI Integration in Ophthalmology.
Klinische Monatsblatter fur Augenheilkunde
Apr 16, 2025
Artificial intelligence (AI) is gaining widespread traction in ophthalmology, with multiple screening and diagnostic tools already being approved by U. S. and EU authorities. However, the adoption of these tools among medical professionals and their ...
Stakeholder acceptance of a robot-assisted social training scenario for autistic children compared to a tablet-computer-based approach.
Scientific reports
Apr 2, 2025
Recent studies indicate the potential benefits of robot-assisted therapy (RAT) for children on the autism spectrum (AS), yet acceptance among stakeholders remains unclear due to methodological shortcomings in existing research. This study evaluates s...
Embedded Ethics in Practice: A Toolbox for Integrating the Analysis of Ethical and Social Issues into Healthcare AI Research.
Science and engineering ethics
Dec 24, 2024
Integrating artificial intelligence (AI) into critical domains such as healthcare holds immense promise. Nevertheless, significant challenges must be addressed to avoid harm, promote the well-being of individuals and societies, and ensure ethically s...
Implementation Strategy for Artificial Intelligence in Radiotherapy: Can Implementation Science Help?
JCO clinical cancer informatics
Dec 20, 2024
PURPOSE: Artificial intelligence (AI) applications in radiotherapy (RT) are expected to save time and improve quality, but implementation remains limited. Therefore, we used implementation science to develop a format for designing an implementation s...
Towards a Multi-Stakeholder process for developing responsible AI governance in consumer health.
International journal of medical informatics
Nov 22, 2024
INTRODUCTION: AI is big and moving fast into healthcare, creating opportunities and risks. However, current approaches to governance focus on high-level principles rather than tailored recommendations for specific domains like consumer health. This g...
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