Machine learning enables automated screening for systematic reviews and meta-analysis in urology.

Abstract

Authors

• H S Menold
  Department of Urology and Urological Surgery, University Medical Center Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
• V L S Wieland
  Department of Urology and Urological Surgery, University Medical Center Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
• C M Haney
  Department of Urology, University of Leipzig, Leipzig, Germany.
• D Uysal
  Department of Urology and Urological Surgery, University Medical Center Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
• F Wessels
  Department of Urology and Urological Surgery, University Medical Center Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
• G C Cacciamani
  USC Institute of Urology, University of Southern California, ©, Los Angeles, CA, USA.
• M S Michel
  Department of Urology and Urological Surgery, University Medical Center Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
• S Seide
  Böhringer Ingelheim, Ingelheim am Rhein,, Germany.
• K F Kowalewski
  Department of Urology, Medical Faculty of Mannheim at the University of Heidelberg, Mannheim, Germany.

Keywords

External Resources