Abstract #0102
Perspectives on Data Sharing and Artificial Intelligence Among Participants in Renal Clinical Studies
Verónica Aramendía-Vidaurreta1,2, Leyre García-Ruiz1,2, Maite Aznarez3, Malene Aastrup4, Michela Bozzetto5, Paolo Brambilla6, Rebeca Echeverria-Chasco1,2, Esben S.S Hansen4, Larisa Micu7, Jose María Mora-Gutierrez8, Siria Pasini5, Anish Raj9,10, Steffen Ringgaard4, Nicholas M Selby11, Anika Strittmatter9,10, Tau Vendelboe4, Giulia Villa5, Iona Urdea12, Niels Henrik Buus13, Nuria Garcia-Fernandez8, Matias Trillini14, Susan Francis15, Lucian-Mihai Itu7, Christoffer Laustsen4, Frank G. Zoellner9,10, Anna Caroli5, and María A. Fernández-Seara1,2
1Radiology, Clínica Universidad de Navarra, Pamplona, Spain, 2IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain, 3School of Education and Psychology, University of Navarra, Pamplona, Spain, 4The MR Research Centre, Aarhus University, Aarhus, Denmark, 5Bioengineering, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy, 6Radiology Unit, ASST Papa Giovanni XXIII, Bergamo, Italy, 7Advanta, Siemens, 15 Noiembrie Bvd, 500097, Brasov, Romania, 8Nephrology, Clínica Universidad de Navarra, Pamplona, Spain, 9Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 10Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 11Centre for Kidney Research and Innovation, University of Nottingham, Nottingham, United Kingdom, 12Advanta, Siemens, 15 Noiembrie Bvd, Brasov, 500097, Brasov, Romania, 13Renal Medicine, Aarhus University Hospital, Aarthus, Denmark, 14Renal diseases, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy, 15Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom
Synopsis
Keywords: Other AI/ML, Kidney, Data sharing, AI
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.
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