Conceptual framework and documentation standards of cystoscopic media content for artificial intelligence.

Abstract

Authors

• Okyaz Eminaga
  Okyaz Eminaga, Stanford Medical School, Stanford, CA; University Hospital of Cologne, Cologne, France; Nurettin Eminaga, St Mauritius Therapy Clinic, Meerbusch; Axel Semjonow, University Hospital Muenster; and Bernhard Breil, Niederrhein University of Applied Sciences, Krefeld, Germany.
• Timothy Jiyong Lee
  Department of Urology, Stanford University School of Medicine, Stanford, USA.
• Jessie Ge
  Department of Urology, Stanford University School of Medicine, Stanford, USA.
• Eugene Shkolyar
  Department of Urology, Stanford University School of Medicine, Stanford, CA, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
• Mark Laurie
  Department of Computer Science, Stanford University, Stanford, CA, 94305, USA. Electronic address: markl21@stanford.edu.
• Jin Long
  Center for Artificial Intelligence in Medicine and Imaging, Stanford University, 1701 Page Mill Road, Palo Alto, CA, 94304, USA.
• Lukas Graham Hockman
  Department of Urology, Stanford University School of Medicine, Stanford, USA.
• Joseph C Liao
  Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.

Keywords

External Resources