Cargando…
Improving Prosthetic Selection and Predicting BMD from Biometric Measurements in Patients Receiving Total Hip Arthroplasty
There are two surgical approaches to performing total hip arthroplasty (THA): a cemented or uncemented type of prosthesis. The choice is usually based on the experience of the orthopaedic surgeon and on parameters such as the age and gender of the patient. Using machine learning (ML) techniques on q...
Autores principales: | Ricciardi, Carlo, Jónsson, Halldór, Jacob, Deborah, Improta, Giovanni, Recenti, Marco, Gíslason, Magnús Kjartan, Cesarelli, Giuseppe, Esposito, Luca, Minutolo, Vincenzo, Bifulco, Paolo, Gargiulo, Paolo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602076/ https://www.ncbi.nlm.nih.gov/pubmed/33066350 http://dx.doi.org/10.3390/diagnostics10100815 |
Ejemplares similares
-
Health technology assessment through Six Sigma Methodology to assess cemented and uncemented protheses in total hip arthroplasty
por: Latessa, Imma, et al.
Publicado: (2021) -
Bone Mineral Density and Fracture Risk Assessment to Optimize Prosthesis Selection in Total Hip Replacement
por: Pétursson, Þröstur, et al.
Publicado: (2015) -
Machine learning predictive system based upon radiodensitometric distributions from mid-thigh CT images
por: Recenti, Marco, et al.
Publicado: (2020) -
Toward New Assessment of Knee Cartilage Degeneration
por: Aubonnet, Romain, et al.
Publicado: (2022) -
Improving Planning and Post-Operative Assessment for Total Hip Arthroplasty
por: Magnússon, Benedikt, et al.
Publicado: (2015)