How to compete with Google and Co. Big data and artificial intelligence in stones

Martin Schoenthaler, Martin Boeker, Petar Horki

Research output: Contribution to journalReview articlepeer-review

5 Scopus citations

Abstract

Purpose of reviewTo elucidate the keywords big data and artificial intelligence and corresponding literature in the field of urolithiasis.Recent findingsNumbers 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.SummaryIn 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.

Original languageEnglish
Pages (from-to)135-142
Number of pages8
JournalCurrent Opinion in Urology
Volume29
Issue number2
DOIs
StatePublished - 1 Mar 2019
Externally publishedYes

Keywords

  • artificial intelligence
  • big data
  • digital health
  • urolithiasis

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