Feasibility of a deep learning-based diagnostic platform to evaluate lower urinary tract disorders in men using simple uroflowmetry

PURPOSE: To diagnose lower urinary tract symptoms (LUTS) in a noninvasive manner, we created a prediction model for bladder outlet obstruction (BOO) and detrusor underactivity (DUA) using simple uroflowmetry. In this study, we used deep learning to analyze simple uroflowmetry. MATERIALS AND METHODS:...

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Detalles Bibliográficos
Autores principales: Bang, Seokhwan, Tukhtaev, Sokhib, Ko, Kwang Jin, Han, Deok Hyun, Baek, Minki, Jeon, Hwang Gyun, Cho, Baek Hwan, Lee, Kyu-Sung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Urological Association 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9091823/
https://www.ncbi.nlm.nih.gov/pubmed/35437961
http://dx.doi.org/10.4111/icu.20210434

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9091823/
https://www.ncbi.nlm.nih.gov/pubmed/35437961
http://dx.doi.org/10.4111/icu.20210434

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