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KMID : 1139220210170050308
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Journal of Exercise Rehabilitation
2021 Volume.17 No. 5 p.308 ~ p.312
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Applications of artificial intelligence in urological setting: a hopeful path to improved care
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Eun Sung-Jong
Kim Ja-Young
Kim Khae-Hawn
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Abstract
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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.
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KEYWORD
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Artificial intelligence, Machine learning, Urology, Urological diseases
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