Earticle

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

키워드

저자

• 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 ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JER [Journal of Exercise Rehabilitation]

• 간기

  격월간

• pISSN

  2288-176X

• eISSN

  2288-1778

• 수록기간

  2013~2026

• 등재여부

  SCOPUS,KCI 등재

• 십진분류

  KDC 517 DDC 613