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

Affiliations

• ¹ Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden. Electronic address: lars.egevad@ki.se.
• ² Department of Pathology and Molecular Medicine, Wellington School of Medicine and Health Sciences, University of Otago, Wellington, New Zealand.
• ³ Aquesta Uropathology and University of Queensland, Brisbane, Qld, Australia.
• ⁴ Department of Surgical Pathology, Aichi Medical University, School of Medicine, Nagoya, Japan.
• ⁵ Pathology Informatics Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan.
• ⁶ Wesley Urology Clinic, Brisbane, Qld, Australia.
• ⁷ Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Institute of Biomedicine, University of Turku, Turku, Finland.
• ⁸ Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
• ⁹ Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.