Trabeculae microstructure parameters serve as effective predictors for marginal bone loss of dental implant in the mandible

Marginal bone loss (MBL) is one of the leading causes of dental implant failure. This study aimed to investigate the feasibility of machine learning (ML) algorithms based on trabeculae microstructure parameters to predict the occurrence of severe MBL. Eighty-one patients (41 severe MBL cases and 40...

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Detalles Bibliográficos
Autores principales: Zhang, Hengguo, Shan, Jie, Zhang, Ping, Chen, Xin, Jiang, Hongbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595041/
https://www.ncbi.nlm.nih.gov/pubmed/33116221
http://dx.doi.org/10.1038/s41598-020-75563-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595041/
https://www.ncbi.nlm.nih.gov/pubmed/33116221
http://dx.doi.org/10.1038/s41598-020-75563-y

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