Cargando…
Artificial intelligence for the classification of fractures around the knee in adults according to the 2018 AO/OTA classification system
BACKGROUND: Fractures around the knee joint are inherently complex in terms of treatment; complication rates are high, and they are difficult to diagnose on a plain radiograph. An automated way of classifying radiographic images could improve diagnostic accuracy and would enable production of unifor...
Autores principales: | Lind, Anna, Akbarian, Ehsan, Olsson, Simon, Nåsell, Hans, Sköldenberg, Olof, Razavian, Ali Sharif, Gordon, Max |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016258/ https://www.ncbi.nlm.nih.gov/pubmed/33793601 http://dx.doi.org/10.1371/journal.pone.0248809 |
Ejemplares similares
-
Automating classification of osteoarthritis according to Kellgren-Lawrence in the knee using deep learning in an unfiltered adult population
por: Olsson, Simon, et al.
Publicado: (2021) -
The epidemiology of adult fractures according to the AO/OTA fracture classification
por: Bilge, Onur, et al.
Publicado: (2022) -
Ankle fracture classification using deep learning: automating detailed AO Foundation/Orthopedic Trauma Association (AO/OTA) 2018 malleolar fracture identification reaches a high degree of correct classification
por: Olczak, Jakub, et al.
Publicado: (2020) -
The initial analysis of pediatric fractures according to the AO/OTA fracture classification and mechanisms of injuries
por: Bilge, Onur, et al.
Publicado: (2022) -
Reliability and reproducibility of the new AO/OTA 2018 classification system for proximal humeral fractures: a comparison of three different classification systems
por: Marongiu, Giuseppe, et al.
Publicado: (2020)