He J, Baxter SL, Xu J, Xu J, Zhou X, Zhang K (2019) The practical implementation of artificial intelligence technologies in medicine. Nat Med 25(1):30–36 CAS Article Google Scholar Frost and Sullivan 2016. From $600 M to $6 billion, artificial intelligence systems poised for dramatic market expansion in healthcare. Available at https://ww2.frost.com/news/press-releases/600-m-6-billion-artificial-intelligence-systems-poised-dramatic-market-expansion-healthcare/. Accessed June 2020 Suarez-Ibarrola R, Hein S, Reis G, Gratzke C, Miernik A (2019) Current and future applications of machine and deep learning in urology: a review of the literature on urolithiasis, renal cell carcinoma, and bladder and prostate cancer. World J Urol. https://doi.org/10.1007/s00345-019-03000-5 Article PubMed Google Scholar Rossi SH, Prezzi D, Kelly-Morland C, Goh V (2018) Imaging for the diagnosis and response assessment of renal tumours. World J Urol 36(12):1927–1942 Article Google Scholar Negassi M, Suarez-Ibarrola R, Hein S, Miernik A, Reiterer A (2020) Application of artificial neural networks for automated analysis of cystoscopic images: a review of the current status and future prospects. World J Urol. https://doi.org/10.1007/s00345-019-03059-0 Article PubMed Google Scholar Yu SH, Kim MS, Chung HS et al (2020) Early experience with Watson for Oncology: a clinical decision-support system for prostate cancer treatment recommendations. World J Urol. https://doi.org/10.1007/s00345-020-03214-y Article PubMed Google Scholar Koo KC, Lee KS, Kim S et al (2020) Long short-term memory artificial neural network model for prediction of prostate cancer survival outcomes according to initial treatment strategy: development of an online decision-making support system. World J Urol. https://doi.org/10.1007/s00345-020-03080-8 Article PubMed Google Scholar Tokas T, Grabski B, Paul U, Baurle L, Loch T (2018) A 12-year follow-up of ANNA/C-TRUS image-targeted biopsies in patients suspicious for prostate cancer. World J Urol 36(5):699–704 Article Google Scholar Van Puyvelde H, Basto M, Chung ASJ et al (2020) Making surgery safer in an increasingly digital world: the internet—friend or foe? World J Urol 38:1391–1395. https://doi.org/10.1007/s00345-020-03145-8 Article PubMed Google Scholar Van Bruwaene S (2020) Surgical safety. World J Urol 38(6):1349–1350 Article Google Scholar Andras I, Mazzone E, van Leeuwen FWB et al (2019) Artificial intelligence and robotics: a combination that is changing the operating room. World J Urol. https://doi.org/10.1007/s00345-019-03037-6 Article PubMed Google Scholar Veneziano D, Tafuri A, Rivas JG et al (2019) Is remote live urologic surgery a reality? Evidences from a systematic review of the literature. World J Urol. https://doi.org/10.1007/s00345-019-02996-0 Article PubMed Google Scholar Castaneda P, Ellimoottil C (2019) Current use of telehealth in urology: a review. World J Urol. https://doi.org/10.1007/s00345-019-02882-9 Article PubMed Google Scholar Smith B, Dasgupta P (2019) 3D printing technology and its role in urological training. World J Urol. https://doi.org/10.1007/s00345-019-02995-1 Article PubMed Google Scholar Checcucci E, Amparore D, Fiori C, Manfredi M, Ivano M, Di Dio M et al (2020) 3D imaging applications for robotic urologic surgery: an ESUT YAUWP review. World J Urol 38(4):869–881 Article Google Scholar Pan Y, Chen H, Chen H et al (2020) Is electronic follow-up using a mobile phone application after mid-urethral sling placement feasible and efficient? World J Urol. https://doi.org/10.1007/s00345-020-03245-5 Article PubMed Google Scholar Tapiero S, Yoon R, Jefferson F et al (2019) Smartphone technology and its applications in urology: a review of the literature. World J Urol. https://doi.org/10.1007/s00345-019-02960-y Article PubMed Google Scholar Chen IHA, Chu C, Lin J et al (2020) Comparing a new risk prediction model with prostate cancer risk calculator apps in a Taiwanese population. World J Urol. https://doi.org/10.1007/s00345-020-03256-2 Article PubMed Google Scholar Adam A, Hellig JC, Perera M, Bolton D, Lawrentschuk N (2018) ‘Prostate Cancer Risk Calculator’ mobile applications (Apps): a systematic review and scoring using the validated user version of the Mobile Application Rating Scale (uMARS). World J Urol 36(4):565–573 CAS Article Google Scholar Jamnadass E, Rai BP, Veneziano D et al (2020) Do prostate cancer-related mobile phone apps have a role in contemporary prostate cancer management? A systematic review by EAU young academic urologists (YAU) urotechnology group. World J Urol. https://doi.org/10.1007/s00345-020-03197-w Article PubMed Google Scholar Haun MW, Ihrig A, Karschuck P et al (2020) The era of the digital natives is approaching: Insights into online peer-to-peer support for persons affected by prostate cancer. World J Urol. https://doi.org/10.1007/s00345-020-03114-1 Article PubMed Google Scholar Download references Open Access funding provided by Projekt DEAL. Department of Urology, Faculty of Medicine, University of Freiburg - Medical Center, Freiburg, Germany Rodrigo Suarez-Ibarrola & Arkadiusz Miernik You can also search for this author in PubMed Google Scholar You can also search for this author in PubMed Google Scholar Correspondence to Rodrigo Suarez-Ibarrola. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a...