How to compete with Google and Co. big data and artificial intelligence in stonesSchoenthaler, Martina; Boeker, Martinb,c; Horki, Petarb,cCurrent Opinion in Urology: March 2019 - Volume 29 - Issue 2 - p 135–142 doi: 10.1097/MOU.0000000000000578 FUTURE OF KIDNEY STONE MANAGEMENT: Edited by Arkadiusz Miernik Buy SDC Abstract Author InformationAuthors Article MetricsMetrics Purpose of review To elucidate the keywords big data and artificial intelligence and corresponding literature in the field of urolithiasis. Recent findings Numbers of publications on big data and artificial intelligence in the field of urolithiasis are rising, but still low. Most publications describe the development, testing, and validation of automated computational analyses of clinical data sets and/or images in a preclinical setting. Summary In the field of digital health services, there is a discrepancy between the enormous commitment of large private companies and investments of public funds. This situation means a still small number of medical publications on this topic in the urolithiasis field. Nevertheless, as doctors and scientists, we should try to provide our patients with secure and worthwhile digital services. aDepartment of Urology bInstitute of Medical Biometry and Statistics cTumor Center Freiburg (CCCF), Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany Correspondence to Martin Schoenthaler, Department of Urology, Medical Center, University of Freiburg, Hugstetter Str. 55, 79106 Freiburg, Germany. Tel: +49 761 270 25822; fax: +49 761 270 28780; e-mail: email@example.com Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal's Website (www.co-urology.com). Copyright © 2019 Wolters Kluwer Health, Inc. All rights reserved.