Value of artificial intelligence model based on unenhanced computed tomography of urinary tract for preoperative prediction of calcium oxalate monohydrate stones in vivo

BACKGROUND: Urolithiasis is a global disease with a high incidence and recurrence rate, and stone composition is closely related to the choice of treatment and preventive measures. Calcium oxalate monohydrate (COM) is the most common in clinical practice, which is hard and difficult to fragment. Pre...

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Detalles Bibliográficos
Autores principales: Tang, Lei, Li, Wuchao, Zeng, Xianchun, Wang, Rongpin, Yang, Xiushu, Luo, Guangheng, Chen, Qijian, Wang, Lihui, Song, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350703/
https://www.ncbi.nlm.nih.gov/pubmed/34430570
http://dx.doi.org/10.21037/atm-21-965

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350703/
https://www.ncbi.nlm.nih.gov/pubmed/34430570
http://dx.doi.org/10.21037/atm-21-965

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