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Kunstig intelligens i det danske sundhedsvæsen

Forfatter(e)
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
Reference: 
Ugeskr Læger 2020;182:V09190540
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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.

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