Development of an Automatic Interpretation Algorithm for Uroflowmetry Results: Application of Artificial Intelligence

PURPOSE: To develop an automatic interpretation system for uroflowmetry (UFM) results using machine learning (ML), a form of artificial intelligence (AI). METHODS: A prospectively collected 1,574 UFM results (1,031 males, 543 females) with voided volume>150 mL was labelled as normal, borderline,...

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Detalles Bibliográficos
Autores principales: Choo, Min Soo, Ryu, Ho Young, Lee, Sangchul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Continence Society 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984688/
https://www.ncbi.nlm.nih.gov/pubmed/35368187
http://dx.doi.org/10.5213/inj.2244052.026

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8984688/
https://www.ncbi.nlm.nih.gov/pubmed/35368187
http://dx.doi.org/10.5213/inj.2244052.026

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