Topalovic, Marko ;
Das, Nilakash ;
Burgel, Pierre-Regis...
Topalovic , M , Das , N , Burgel , P-R , Daenen , M , Derom , E , Haenebalcke , C , Janssen , R , Kerstjens , H A M , Liistro , G , Louis , R , Ninane , V , Pison , C , Schlesser , M , Vercauter , P , Vogelmeier , C F , Wouters , E , Wynants , J , Janssens , W , De Pauw , R , Depuydt , C , Haenebalcke , C , Muyldermans , S , Ringoet , V , Stevens , D , Bayat , S , Benet , J , Catho , E , Claustre , J , Fedi , A , Ferjani , M A , Guzun , R , Isnard , M , Nicolas , S , Pierret , T , Pison , C , Rouches , S , Wuyam , B , Corhay , J L , Guiot , J , Janssen , R , van Veen , A , Hardeman , E , Pirson , F , Vosse , B , Conemans , L , Maus , M , Bischoff , M , Rutten , M , Agterhuis , D , Sprooten , R & Pulm Function Study Investigators 2019 , ' Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests ' , European Respiratory Journal , vol. 53 , no. 4 , 1801660 . https://doi.org/10.1183/13993003.01660-2018.
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2019