Perspectives on Data Sharing and Artificial Intelligence Among Participants in Renal Clinical Studies

Motivation: Acquiring information on research participants' attitudes regarding data sharing and AI use is key to drive responsible research. Goal(s): To investigate the perspectives of renal clinical study participants (including MRI) on sharing anonymized data and using AI in data analysis. Approach: A survey was designed featuring 42 questions on data sharing, AI, and other explanatory variables. Surveys were distributed to research participants in clinical centers located in 3 different European countries. Statistical methods were used to evaluate responses. Results: Participants showed positive perspectives on data sharing and AI use. Key factors influencing these attitudes include institutional trust, participant clinical category and AI technical-knowledge. Impact: Current findings highlight the importance of improving institutional trust and education on AI to foster patient engagement in data sharing practices, and the use of AI in medical imaging.