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Review Article

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

원문정보

Sung-Jong Eun, Jayoung Kim, Khae Hawn Kim

한국운동재활학회 JER Vol.17 No.5 2021.10 pp.308-312
피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

Artificial intelligence (AI) has been introduced in urology research and practice. Application of AI leads to better accuracy of disease diagno-sis and predictive model for monitoring of responses to medical treat-ments. 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 ma-chine learning algorithm-based models will enhance the prediction ac-curacy for various bladder diseases including interstitial cystitis, blad-der cancer, and reproductive urology.

목차

Abstract
INTRODUCTION
APPLICATION OF ARTIFICIAL INTELLIGENCE IN UROLOGICAL SETTING
AI in urine analysis
AI in benign urological conditions and diseases
Big data-based ML application in urological cancers
AI in bladder diary
AI applications in reproductive urology
CONCLUSIONS
REFERENCES

저자정보

  • Sung-Jong Eun Digital Health Industry Team, National IT Industry Promotion Agency, Jincheon, Korea
  • Jayoung Kim Departments of Surgery and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
  • Khae Hawn Kim Department of Urology, Chungnam National University Sejong Hospital, Chungnam National University School of Medicine, Sejong, Korea

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