AIR – Artificially Intelligent use of Registers

In this project, researchers from Lund University, Halmstad University and Region Halland will determine how AI, when applied on the Swedish register infrastructure, can contribute to increased quality and efficiency of healthcare.

The overall aim of Artificially Intelligent use of Registers (AIR Lund) is to assess critically how machine learning methods applied on the Swedish register infrastructure can contribute to increased quality and efficiency of healthcare, while addressing well-founded ethical and legal concerns related to the use of complex data-demanding algorithms in clinical practice. Specific projects will focus on cardiometabolic diseases, including early identification and prevention, improved diagnosis at the emergency department and improved long-term forecasting of patient outcomes and healthcare needs.

About the project

Project period:

  • January 1, 2020, to January 1, 2023


  • Swedish Research Council

Involved partners:

  • Lund University
  • Halmstad University
  • Region Halland

Project leader at Halmstad University:


  • ISDD