Artificial intelligence: the future of urinary stone management?. Issue 2 (March 2020)

• Record Type: Journal Article
• Authors: Jahrreiss, Victoria; Veser, Julian; Seitz, Christian; Özsoy, Mehmet
• Is Part Of: Current opinion in urology. Volume 30:Issue 2(2020:Mar.)
• Publication Date: 2020-03
• Subjects: artificial intelligence -- machine learning -- nephrolithiasis -- urinary stones -- urolithiasis; Urology -- Periodicals; Review Literature -- Bibliography; Review Literature -- Periodicals; Male Urogenital Diseases -- Bibliography; Male Urogenital Diseases -- Periodicals; Female Urogenital Diseases -- Bibliography; Female Urogenital Diseases -- Periodicals; Urologic Diseases -- Bibliography; Urologic Diseases -- Periodicals; Periodicals; 616.6005
• DOI: 10.1097/MOU.0000000000000707
• Languages: English
• ISSNs: 1473-6586

Abstract

Abstract : Purpose of review: To investigate the application of artificial intelligence in the management of nephrolithiasis. Recent findings: Although rising, the number of publications on artificial intelligence for the management of urinary stone disease is still low. Most publications focus on diagnostic tools and prediction of outcomes after clinical interventions. Artificial intelligence can, however, play a major role in development of surgical skills and automated data extraction to support clinical research. Summary: The combination of artificial intelligence with new technological developments in the field of endourology will create new possibilities in the management of urinary stones. The implication of artificial intelligence can lead to better patient selection, higher success rates, and furthermore improve patient safety.