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Artificial Intelligence in Health                                           AI in prostate cancer detection



            3.   Center MM, Jemal A, Lortet-Tieulent J,  et al., 2012,      https://doi.org/10.1056/NEJMoa1801993
               International variation in prostate cancer incidence and   14.  Rouvière O, Puech P, Renard-Penna R,  et al., 2019, Use
               mortality rates. Eur Urol, 61: 1079–1092.          of prostate systematic and targeted biopsy on the basis of
               https://doi.org/10.1016/j.eururo.2012.02.054       multiparametric MRI in biopsynaive patients (MRI-FIRST):
                                                                  A prospective, multicentre, paired diagnostic study. Lancet
            4.   Rebbeck TR, Devesa SS, Chang BL, et al., 2013, Global
               patterns of prostate cancer incidence, aggressiveness, and   Oncol, 20: 100–109.
               mortality in men of African descent.  Prostate Cancer,      https://doi.org/10.1016/S1470-2045(18)30569-2
               2013: 560857.                                   15.  Van der Leest M, Cornel E, Israël B, et al., 2019, Head-to-
               https://doi.org/10.1155/2013/560857                head comparison of transrectal ultrasound-guided prostate
                                                                  biopsy versus multiparametric prostate resonance imaging
            5.   Zhou CK, Check DP, Lortet-Tieulent J, et al., 2016, Prostate   with subsequent magnetic resonance-guided biopsy in
               cancer incidence in 43 populations worldwide: An analysis   biopsy-naïve men with elevated prostate-specific antigen:
               of time trends overall and by age group.  Int J Cancer,   A large  prospective multicenter clinical study.  Eur Urol,
               138: 1388–1400.                                    75: 570–578.
               https://doi.org/10.1002/ijc.29894                  https://doi.org/10.1016/j.eururo.2018.11.023
            6.   World Cancer Research Fund/American Institute for Cancer   16.  Mottet N, Bellmunt J, Bolla M, et al., 2017, EAU-ESTRO-
               Research, 2018, Continuous Update Project Expert Report.   SIOG guidelines on prostate cancer. Part  1: Screening,
               Body Fatness and Weight Gain and the Risk of Cancer.   diagnosis, and local treatment with curative intent. Eur Urol,
               United Kingdom: World Cancer Research Fund.        71: 618–629.
            7.   Bray F, Pineros M, 2016, Cancer patterns, trends and      https://doi.org/10.1016/j.eururo.2016.08.003
               projections in Latin America and the Caribbean: A global
               context. Salud Publica Mex, 58: 104–117.        17.  Rosenkrantz AB, Ayoola A, Hoffman D,  et al., 2017, The
                                                                  learning curve in prostate MRI interpretation: Self-directed
               https://doi.org/10.21149/spm.v58i2.7779            learning versus continual reader feedback.  AJR Am J
            8.   Culp MB, Soerjomataram I, Efstathiou JA,  et  al., 2020,   Roentgenol, 208: W92–W100.
               Recent global patterns in prostate cancer incidence and      https://doi.org/10.2214/AJR.16.16876
               mortality rates. Eur Urol, 77: 38–52.
                                                               18.  Tran BX, Latkin CA, Sharafeldin N,  et  al., 2019,
               https://doi.org/10.1016/j.eururo.2019.08.005       Characterizing artificial intelligence applications in cancer
            9.   Seraphin TP, Joko-Fru WY, Kamate B, et al., 2020, Rising   research: A  latent dirichlet allocation analysis.  JMIR  Med
               prostate cancer incidence in sub-Saharan Africa: A  trend   Inform, 7: e14401.
               analysis of data from the African Cancer Registry Network.      https://doi.org/10.2196/14401
               Cancer Epidemiol Biomarkers Prev,  30:158–165.
                                                               19.  Pantanowitz L, Quiroga-Garza GM, Bien L, et al., 2020, An
               https://doi.org/10.1158/1055-9965.EPI-20-1005      artificial intelligence algorithm for prostate cancer diagnosis
            10.  Lin K, Lipsitz R, Janakiraman S, 2008, Benefits and harms of   in whole slide images of core needle biopsies: A  blinded
               prostate-specific antigen screening for prostate cancer: An   clinical  validation  and  deployment  study.  Lancet Digit
               evidence update for the U.S. Preventive Services Task Force.   Health, 2: e407–e416.
               Ann Intern Med, 149: 192–199.                      https://doi.org/10.1016/S2589-7500(20)30159-X
               https://doi.org/10.7326/0003-4819-149-3-200808050-00009  20.  Twilt JJ, van Leeuwen KG, Huisman HJ,  et al., 2021,
            11.  Wolf AMD, Wender RC, Etzioni RB, et al., 2010, American   Artificial intelligence based algorithms for prostate cancer
               Cancer Society guideline for the early detection of prostate   classification and detection on magnetic resonance imaging:
               cancer: Update 2010. CA Cancer J Clin, 60: 70–98.  A narrative review. Diagnostics (Basel), 11: 959.
               https://doi.org/10.3322/caac.20066                 https://doi.org/10.3390/diagnostics11060959
            12.  US Preventive Services Task Force, Grossman DC, Curry SJ,   21.  Mata LA, Retamero JA, Gupta RT,  et al., 2021, Artificial
               et al., 2018, Screening for prostate cancer: US Preventive   intelligence-assisted prostate cancer diagnosis: Radiologic-
               Services Task Force recommendation statement.  JAMA,   pathologic correlation. Radiographics, 41: 1676–1697.
               319: 1901–1913.                                    https://doi.org/10.1148/rg.2021210020
               https://doi.org/10.1001/jama.2018.3710          22.  Guo Y, Hao Z, Zhao S,  et al., 2020, Artificial intelligence
            13.  Kasivisvanathan V, Rannikko AS, Borghi M,  et al., 2018,   in health care: Bibliometric analysis.  J  Med Internet Res,
               MRI-targeted or standard biopsy for prostate-cancer   22: e18228.
               diagnosis. N Engl J Med, 378: 1767–1777.           https://doi.org/10.2196/18228


            Volume 1 Issue 1 (2024)                         12                        https://doi.org/10.36922/aih.1958
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