Cargando…
Preinterventional Third-Molar Assessment Using Robust Machine Learning
Machine learning (ML) models, especially deep neural networks, are increasingly being used for the analysis of medical images and as a supporting tool for clinical decision-making. In this study, we propose an artificial intelligence system to facilitate dental decision-making for the removal of man...
Autores principales: | Carvalho, J.S., Lotz, M., Rubi, L., Unger, S., Pfister, T., Buhmann, J.M., Stadlinger, B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683342/ https://www.ncbi.nlm.nih.gov/pubmed/37944556 http://dx.doi.org/10.1177/00220345231200786 |
Ejemplares similares
-
Machine learning to predict distal caries in mandibular second molars associated with impacted third molars
por: Hur, Sung-Hwi, et al.
Publicado: (2021) -
Magnetic resonance imaging for preoperative diagnosis in third molar surgery: a systematic review
por: Al-Haj Husain, Adib, et al.
Publicado: (2022) -
Preintervention imaging and intraoperative management care of the
hypertrophic obstructive cardiomyopathy patient
por: Moreno Garijo, Jacobo, et al.
Publicado: (2021) -
Patient Attitudes About Viewing Their Radiology Images Online: Preintervention Survey
por: Halaska, Ciarra, et al.
Publicado: (2019) -
Using machine learning to determine age over 16 based on development of third molar and periodontal ligament of second molar
por: Shen, Shihui, et al.
Publicado: (2023)