Artificial intelligence-driven clinical decision support systems to assist healthcare professionals and people with diabetes in Europe at the point of care: a Delphi-based consensus roadmap
- Mia Bajramagic
- , Tadej Battelino
- , Xavier Cos
- , Mark Cote
- , Nancy Cui
- , Angus Forbes
- , Alfonso Galderisi
- , Lutz Heinemann
- , Sufyan Hussain
- , Jessica Imbert
- , Christian Holm Jönsson
- , Michael Joubert
- , Nebojša M. Lalić
- , Moshe Phillip
- , Peter Schwarz
- , Bart Torbeyns
- , Deborah J. Wake
- , Katerina Zakrzewska
- , Stefano Del Prato*
*Corresponding author for this work
- University of Split
- University of Ljubljana
- Centro de Investigación Biomédica en Red
- Generalitat de Catalunya
- King's College London
- Sanofi-Aventis
- Yale University
- Science Consulting in Diabetes GmbH
- Guy's and St Thomas' NHS Foundation Trust
- Kings Health Partners AHSC
- MedTech Europe
- Novo Nordisk Foundation
- Université de Caen
- University of Belgrade
- Clinical Center of Serbia
- Schneider Childrens Medical Center Israel
- Technische Universität Dresden
- German Center for Diabetes Research
- EUDF
- University of Edinburgh
- embecta Switzerland Sàrl
- Sant'Anna School of Advanced Studies
Research output: Contribution to journal › Article › peer-review
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