A Study on the Optimal Artificial Intelligence Model for Determination of Urolithiasis

PURPOSE: This paper aims to develop a clinical decision support system (CDSS) that can help detect the stone that is most important to the diagnosis of urolithiasis. Among them, especially for the development of artificial intelligence (AI) models that support a final judgment in CDSS, we would like...

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Detalles Bibliográficos
Autores principales: Eun, Sung-Jong, Yun, Myoung Suk, Whangbo, Taeg-Keun, Kim, Khae-Hawn
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/PMC9537435/
https://www.ncbi.nlm.nih.gov/pubmed/36203253
http://dx.doi.org/10.5213/inj.2244202.101

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537435/
https://www.ncbi.nlm.nih.gov/pubmed/36203253
http://dx.doi.org/10.5213/inj.2244202.101

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