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big data and artificial intelligence in stones

Schoenthaler, Martina; Boeker, Martinb,c; Horki, Petarb,c

doi: 10.1097/MOU.0000000000000578
FUTURE OF KIDNEY STONE MANAGEMENT: Edited by Arkadiusz Miernik
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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: martin.schoenthaler@uniklinik-freiburg.de

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