“To have an ethical AI solution that can read patient records across Nordic languages and multiple systems will increase efficiency in Nordic health data utilization and show how to use AI in a responsible way. In a time with not enough “warm hands”, not today and certainly not tomorrow, we need solutions that can be implemented as soon as they have been proven to function and to be safe. This is what we aim for in this project, and we are really looking forward to working with the consortium,” says Rasmus Malmborg, Head of Program at Nordic Innovation.
The goal of the project: Applied Ethical AI on Nordic Patient Records is to develop and demonstrate an ethical algorithm capable of reading both digital and analogue patient journals, across medical health record systems and across Nordic borders and Nordic languages.
”2021.AI are very pleased to be part of this project and work with a dedicated consortium of partners. The project will use Federated Learning to develop responsible and ethical AI for healthcare leveraging the 2021.AI GRACE platform which is designed for precisely such projects working with secure and governance data for developing AI models according to ethical and compliance criteria,” says Mikael Munck, CEO at 2021.AI.
Project partners
The project will be run by a consortium of partners with expertise within AI, governance, and health technology development. The consortium includes five members from three Nordic countries:
• 2021.AI (Denmark)
• Research Unit for General Practice (RUGP) at Southern Denmark University (Denmark)
• Tampere University (Finland)
• Arcada University (Finland)
• Norwegian Centre for Headache Research at the Norwegian University of Science and Technology (NTNU) (Norway)
