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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Korean Continence Society
2022
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| Materias: | |
| 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 |