TY - JOUR
T1 - Kunstig intelligens i det danske sundhedsvæsen.
AU - Lindskow, Thomas
AU - Ibrahim, Rami Mossad
AU - Thomsen, Michael Vestergaard
AU - Bell, Brian
AU - Kruse, Carla Ragnhild
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
M3 - Tidsskriftartikel
SN - 0041-5782
VL - 182
SP - V09190540
JO - Ugeskrift for Laeger
JF - Ugeskrift for Laeger
ER -