title: Machine learning will transform radiology significantly within the next 5 years.
authors.affiliation: Biomedical Imaging Center, Center for Biotechnology & Interdisciplinary Studies, Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.
authors.forename: Ge
authors.initials: G
authors.lastname: Wang
authors.affiliation: Division of Thoracic and Cardiovascular Imaging, MGH Webster Center for Quality and Safety, Department of Radiology, Massachusetts General Hospital, Boston, MA, 02114, USA.
authors.forename: Mannudeep
authors.initials: M
authors.lastname: Kalra
authors.forename: Colin G
authors.initials: CG
authors.lastname: Orton
mesh_terms: D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D000069550:Machine Learning; D010363:Pattern Recognition, Automated / Q000379:methods; D011859:Radiography / Q000379:methods*; D011871:Radiology / Q000379:methods