Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports
Keno K. Bressem(TUM Klinikum), Stefan M. Niehues(Charité - Universitätsmedizin Berlin), Janis L. Vahldiek(Humboldt-Universität zu Berlin), Robert Gaudin(Humboldt-Universität zu Berlin), Marcus R. Makowski(TUM Klinikum), Chan-Yong Schüle(Charité - Universitätsmedizin Berlin), Lisa C. Adams(TUM Klinikum), Daniel Tröltzsch(Charité - Universitätsmedizin Berlin), Bernd Hamm(European Society of Radiology)
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