Letter to the Editor on "Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review"

Insights Imaging. 2023 Nov 3;14(1):183. doi: 10.1186/s13244-023-01520-8.

Alessandro Bevilacqua^{1

2}, Margherita Mottola³

¹ Department of Computer Science and Engineering (DISI), University of Bologna, Bologna, Italy. alessandro.bevilacqua@unibo.it.
² Advanced Research Center On Electronics Systems (ARCES), University of Bologna, Bologna, Italy. alessandro.bevilacqua@unibo.it.
³ Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.

No abstract available

Keywords: Artificial intelligence; Machine learning; Prostate cancer.

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