Content area


Kunstig intelligens i det danske sundhedsvæsen

Thomas Lindskow1, Rami Mossad Ibrahim2, Michael Vestergaard Thomsen3, Brian Bell4 & Carla Ragnhild Kruse1 1) Plastikkirurgisk Afdeling, Herlev Hospital2) Plastikkirurgisk Afdeling, Odense Universitetshospital3) Plastikkirurgisk Klinik, Rigshospitalet4) DataRobot, Engineering International Place, Boston

Ugeskr Læger 2020;182:V09190540
Ugeskr Læger 2020;182:V09190540
Blad nummer: 

Carla Ragnhild Kruse, Thomas Lindskow, Rami Mossad Ibrahim, Michael Vestergaard Thomsen & Brian Bell:

Artificial intelligence in Danish healthcare

Ugeskr Læger 2020;182:V09190540

Artificial intelligence (AI) and machine learning have become important in medicine as shown in this review. Automatic tools can be trained to analyse patient data and thereby be a great asset to doctors when diagnosing and treating patients. Denmark is a leading country in collecting data. Having large amounts of stored data improves the quality when building a prediction tool. Due to the potential of building AI in the Danish healthcare sector, a significant amount of money has been allocated to foster new innovations in the field. Denmark could play a critical rule utilising data and implementing AI in medicine.

Du skal være logget ind for at læse denne artikel
Log ind

Right side

af Niels Rud Haagensen | 25/09
10 kommentarer
af John Vitger | 25/09
3 kommentarer
af Simon Bahn Glerup | 24/09
7 kommentarer
af Peter Matzen | 21/09
1 Kommentar
af Finn Vallø Hansen | 21/09
1 Kommentar
af Johan Ludvig Reventlow | 19/09
2 kommentarer
af Andreas Gothardt Lundh | 17/09
1 Kommentar
af Bjørn Søeberg | 17/09
33 kommentarer