RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Table of Contents Rofo 2019; 191(01): 73-78DOI: 10.1055/a-0808-7772 100. Deutscher Röntgenkongress © Georg Thieme Verlag KG Stuttgart · New York Artificial Intelligence with Radiology as a Trailblazer for Super-Diagnostics: An Essay Article in several languages: English | deutsch Michael Forsting Recommend Article Abstract Full Text References References 1 Abajian A. et al. Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning-An Artificial Intelligence Concept. J Vasc Interv Radiol 2018; 29: 850-857 e851 2 Abdollahi H. et al. Cochlea CT radiomics predicts chemoradiotherapy induced sensorineural hearing loss in head and neck cancer patients: A machine learning and multi-variable modelling study. Phys Med 2018; 45: 192-197 3 Al’Aref SJ. et al. 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