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.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/0102
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Anika Strittmatter, Matias Trillini, Anish Raj, Rebeca Echeverría‐Chasco et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Artificial Intelligence in Healthcare and Education
article

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

Anika Strittmatter, Matias Trillini, Anish Raj, Rebeca Echeverría‐Chasco, María A. Fernández‐Seara, Steffen Ringgaard, Anna Caroli, Lucian-Mihai Itu, Michela Bozzetto, Nuria Garcı́a-Fernández, Susan Francis, José María Mora‐Gutiérrez, Verónica Aramendía‐Vidaurreta, Niels Henrik Buus, Christoffer Laustsen, Nicholas M. Selby, Larisa Micu, Leyre García-Ruiz, Giulia Villa, Paolo Brambilla, Malene Aastrup, Siria Pasini, Maite Aznarez, Frank G. Zoellner, Tau Vendelboe, Iona Urdea
article en

Abstract

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.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 82%
Artificial Intelligence in Healthcare and Education
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