A random forest algorithm predicting model combining intraoperative frozen section analysis and clinical features guides surgical strategy for peripheral solitary pulmonary nodules

BACKGROUND: Intraoperative frozen section (FS) analysis has been used to guide the extent of resection in patients with solitary pulmonary nodules (SPNs), but its accuracy varies greatly among different hospitals. Artificial intelligence (AI) and multidimensional data technology are developing rapid...

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Detalles Bibliográficos
Autores principales: Qian, Liqiang, Zhou, Yinjie, Zeng, Wanqin, Chen, Xiaoke, Ding, Zhengping, Shen, Yujia, Qian, Yifeng, Tosi, Davide, Silva, Mario, Han, Yuchen, Fu, Xiaolong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271446/
https://www.ncbi.nlm.nih.gov/pubmed/35832446
http://dx.doi.org/10.21037/tlcr-22-395

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9271446/
https://www.ncbi.nlm.nih.gov/pubmed/35832446
http://dx.doi.org/10.21037/tlcr-22-395

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