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Editorial
. 2024 Mar;27(1):3-4.
doi: 10.1038/s41391-023-00718-7. Epub 2023 Sep 18.

Developers-Doctor-patients: the artificial intelligence's trifecta

Rossella Nicoletti  1   2 , Giulia Nicoletti  3   4 , Valentina Giannini  4 , Jeremy Yuen Chun Teoh  5
Affiliations
Editorial

Developers-Doctor-patients: the artificial intelligence's trifecta

Rossella Nicoletti et al. Prostate Cancer Prostatic Dis. 2024 Mar.
No abstract available

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References

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    1. Morozov A, Taratkin M, Bazarkin A, Rivas JG, Puliatti S, Checcucci E, et al. A systematic review and meta-analysis of artificial intelligence diagnostic accuracy in prostate cancer histology identification and grading. Prostate Cancer Prostatic Dis. 2023. https://doi.org/10.1038/s41391-023-00673-3 . Epub ahead of print. PMID: 37185992.
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    1. Checcucci E, Rosati S, De Cillis S, Vagni M, Giordano N, Piana A, et al. Artificial intelligence for target prostate biopsy outcomes prediction the potential application of fuzzy logic. Prostate Cancer Prostatic Dis. 2022;25:359–62. https://doi.org/10.1038/s41391-021-00441-1 . Epub 2021 Sep 3. PMID: 34480083; PMCID: PMC8413110. - DOI - PubMed
    1. Proposal for a regulation of the European Parliament and of the Council laying down harmonised rules on artificial intelligence (artificial intelligence act) and amending certain union legislative acts, Brussels, 21.4.2021 COM(2021) 206 final, 2021/0106(COD).

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