The emerging role of artificial intelligence in the reporting of prostate pathology.

Abstract

Authors

• Lars Egevad
  Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
• Brett Delahunt
  Department of Pathology and Molecular Medicine, Wellington School of Medicine and Health Sciences, University of Otago, Wellington, New Zealand.
• Hemamali Samaratunga
  Aquesta Uropathology and University of Queensland, Brisbane, QLD, Australia.
• Toyonori Tsuzuki
  Department of Surgical Pathology, Aichi Medical University Hospital, Aichi 480-1195, Japan. tsuzuki@aichi-med-u.ac.jp.
• Yoichiro Yamamoto
  Department of Pathology, Shinshu University School of Medicine, Nagano, Japan.
• John Yaxley
  Department of Medicine, University of Queensland, Brisbane, Australia; Wesley Urology Clinic, Brisbane, Australia.
• Pekka Ruusuvuori
  BioMediTech and Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland.
• Kimmo Kartasalo
  BioMediTech and Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland.
• Martin Eklund
  Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. Electronic address: martin.eklund@ki.se.

Keywords

External Resources