AIR Lund (Artificially Intelligent Use of Registers) is an interdisciplinary research program that studies how artificial intelligence and machine learning methods applied on the Swedish register infrastructure can increase quality and efficiency of health care, while addressing well-founded ethical and legal concerns related to the use of big data and complex algorithms in clinical practice.

Read more on our LUCRIS page!

Contacts

• Jonas Björk (page at LU)
• Mattias Ohlsson (page at LU | page at HH)

Partners involved in the program

• Lund University: Faculty of Medicine, Facutly of Science, Faculty of Law, Faculty of Engineering, Faculty of Economics
• Halmstad University: CAISR - Center for Applied Intelligent Systems Research

AIR Lund has a research environment grant within register-based research from the Swedish Research Council (VR) 2019-2023

Studies

AIR Lund Chest Pain

In this project we will develop a medical decision support tool in order to improve efficiency and increase equity in the treatment of patients with chest pain while maintaining highest security. The proposed technical solution is based on artificial intelligence and deep learning methods in order to collect, systematize and categorize patient data from medical journals and extensive health care registers.

AIR Lund Chest Pain has funding from VINNOVA 2018 – 2021.

•  Read more on the LUCRIS project page
• Information to the public (in Swedish)