Applications of artificial intelligence in urological setting: a hopeful path to improved care

Sung-Jong Eun; Jayoung Kim; Khae Hawn Kim

doi:10.12965/jer.2142596.298

Applications of artificial intelligence in urological setting: a hopeful path to improved care

J Exerc Rehabil. 2021 Oct 26;17(5):308-312. doi: 10.12965/jer.2142596.298. eCollection 2021 Oct.

Authors

Sung-Jong Eun¹, Jayoung Kim², Khae Hawn Kim³

Affiliations

¹ Digital Health Industry Team, National IT Industry Promotion Agency, Jincheon, Korea.
² Departments of Surgery and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
³ Department of Urology, Chungnam National University Sejong Hospital, Chungnam National University School of Medicine, Sejong, Korea.

Abstract

Artificial intelligence (AI) has been introduced in urology research and practice. Application of AI leads to better accuracy of disease diagnosis and predictive model for monitoring of responses to medical treatments. This mini-review article aims to summarize current applications and development of AI in urology setting, in particular for diagnosis and treatment of urological diseases. This review will introduce that machine learning algorithm-based models will enhance the prediction accuracy for various bladder diseases including interstitial cystitis, bladder cancer, and reproductive urology.

Keywords: Artificial intelligence; Machine learning; Urological diseases; Urology.

Publication types

Review