A2 Refereed review article in a scientific journal

Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies-Current Status and Next Steps




AuthorsKartasalo Kimmo, Bulten Wouter, Delahunt Brett, Chen Po-Hsuan Cameron, Pinckaers Hans, Olsson Henrik, Ji Xiaoyi, Mulliqi Nita, Samaratunga Hemamali, Tsuzuki Toyonori, Lindberg Johan, Rantalainen Mattias, Wählby Carolina, Litjens Geert, Ruusuvuori Pekka, Egevad Lars, Eklund Martin

Publication year2021

JournalEuropean Urology Focus

Journal name in sourceEuropean urology focus

Journal acronymEur Urol Focus

Volume7

Issue4

First page 687

Last page691

ISSN2405-4569

eISSN2405-4569

DOIhttps://doi.org/10.1016/j.euf.2021.07.002

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/66879438


Abstract

Diagnosis and Gleason grading of prostate cancer in biopsies are critical for the clinical management of men with prostate cancer. Despite this, the high grading variability among pathologists leads to the potential for under- and overtreatment. Artificial intelligence (AI) systems have shown promise in assisting pathologists to perform Gleason grading, which could help address this problem. In this mini-review, we highlight studies reporting on the development of AI systems for cancer detection and Gleason grading, and discuss the progress needed for widespread clinical implementation, as well as anticipated future developments.

Patient summary
This mini-review summarizes the evidence relating to the validation of artificial intelligence (AI)-assisted cancer detection and Gleason grading of prostate cancer in biopsies, and highlights the remaining steps required prior to its widespread clinical implementation. We found that, although there is strong evidence to show that AI is able to perform Gleason grading on par with experienced uropathologists, more work is needed to ensure the accuracy of results from AI systems in diverse settings across different patient populations, digitization platforms, and pathology laboratories.


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Last updated on 2024-26-11 at 22:43