The utility of artificial intelligence in the assessment of prostate pathology
Histopathology
.
2020 May;76(6):790-792.
doi: 10.1111/his.14060.
Authors
Lars Egevad
1
2
,
Peter Ström
3
,
Kimmo Kartasalo
4
,
Henrik Olsson
3
,
Hemamali Samaratunga
5
6
,
Brett Delahunt
7
,
Martin Eklund
3
Affiliations
1
Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
2
Department of Pathology, Karolinska University Hospital, Stockholm, Sweden.
3
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
4
Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
5
Aquesta Pathology, Brisbane, Queensland, Australia.
6
University of Queensland School of Medicine, Brisbane, Queensland, Australia.
7
Department of Pathology and Molecular Medicine, Wellington School of Medicine and Health Sciences, University of Otago, Wellington, New Zealand.
PMID:
32402150
DOI:
10.1111/his.14060
No abstract available
Publication types
Editorial
MeSH terms
Artificial Intelligence*
Biopsy, Needle
Humans
Male
Neoplasm Grading / methods
Prostate / pathology*
Prostatic Neoplasms / diagnosis*
Prostatic Neoplasms / pathology