Transforming urinary stone disease management by artificial intelligence-based methods: A comprehensive review

OBJECTIVE: To provide a comprehensive review on the existing research and evidence regarding artificial intelligence (AI) applications in the assessment and management of urinary stone disease. METHODS: A comprehensive literature review was performed using PubMed, Scopus, and Google Scholar database...

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Detalles Bibliográficos
Autores principales: Anastasiadis, Anastasios, Koudonas, Antonios, Langas, Georgios, Tsiakaras, Stavros, Memmos, Dimitrios, Mykoniatis, Ioannis, Symeonidis, Evangelos N., Tsiptsios, Dimitrios, Savvides, Eliophotos, Vakalopoulos, Ioannis, Dimitriadis, Georgios, de la Rosette, Jean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Second Military Medical University 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394286/
https://www.ncbi.nlm.nih.gov/pubmed/37538159
http://dx.doi.org/10.1016/j.ajur.2023.02.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394286/
https://www.ncbi.nlm.nih.gov/pubmed/37538159
http://dx.doi.org/10.1016/j.ajur.2023.02.002

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