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

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 o...

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Detalles Bibliográficos
Autores principales: Eun, Sung-Jong, Kim, Jayoung, Kim, Khae Hawn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Exercise Rehabilitation 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566099/
https://www.ncbi.nlm.nih.gov/pubmed/34805018
http://dx.doi.org/10.12965/jer.2142596.298
Descripción
Sumario: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.