Accepted for/Published in: Journal of Participatory Medicine
Date Submitted: Oct 21, 2024
Open Peer Review Period: Nov 6, 2024 - Jan 1, 2025
Date Accepted: Jun 9, 2025
(closed for review but you can still tweet)
Patient Perspectives on Artificial Intelligence in Medical Imaging
ABSTRACT
The integration of artificial intelligence (AI) into medical imaging has the potential to improve diagnostic accuracy, efficiency, and patient outcomes. However, its successful adoption may depend not only on technological advancements but also on how AI is perceived and understood by patients. This paper explores patient perspectives on AI in medical imaging, with a focus on trust, human interaction, and ethical considerations such as data privacy and accountability. Studies suggest that while some patients recognize AI’s potential to enhance diagnostic processes, others are concerned about losing the empathy and nuanced judgment of clinicians. Concerns about bias in AI, particularly for underrepresented patient populations, and the financial implications of adopting these technologies also emerge as key issues. The paper proposes that increasing transparency about AI use in diagnostics—such as informing patients when AI has contributed to their care—could help address these concerns. Additionally, offering patients more information and choice regarding the AI tools used in their diagnostic processes may foster greater trust. A patient-centered approach that considers these perspectives may help guide the responsible integration of AI in medical imaging. N/A N/A N/A N/A N/A
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