Cargando…
Artificial-Intelligence-Aided Radiographic Diagnostic of Knee Osteoarthritis Leads to a Higher Association of Clinical Findings with Diagnostic Ratings
Background: Radiographic knee osteoarthritis (OA) severity and clinical severity are often dissociated. Artificial intelligence (AI) aid was shown to increase inter-rater reliability in radiographic OA diagnosis. Thus, AI-aided radiographic diagnoses were compared against AI-unaided diagnoses with r...
Autores principales: | Neubauer, Markus, Moser, Lukas, Neugebauer, Johannes, Raudner, Marcus, Wondrasch, Barbara, Führer, Magdalena, Emprechtinger, Robert, Dammerer, Dietmar, Ljuhar, Richard, Salzlechner, Christoph, Nehrer, Stefan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9917552/ https://www.ncbi.nlm.nih.gov/pubmed/36769394 http://dx.doi.org/10.3390/jcm12030744 |
Ejemplares similares
-
Isolation and Cultivation of Adipose-Derived Mesenchymal Stem Cells Originating from the Infrapatellar Fat Pad Differentiated with Blood Products: Method and Protocol
por: Neubauer, Markus, et al.
Publicado: (2022) -
Deep Learning for Fully Automated Radiographic Measurements of the Pelvis and Hip
por: Stotter, Christoph, et al.
Publicado: (2023) -
Artificial intelligence-based computer-aided system for knee osteoarthritis assessment increases experienced orthopaedic surgeons’ agreement rate and accuracy
por: Smolle, Maria Anna, et al.
Publicado: (2022) -
Unicompartmental Knee Arthroplasty Provides Superior Clinical and Radiological Outcomes Compared to High Tibial Osteotomy at a Follow-Up of 5–8 Years
por: Neubauer, Markus, et al.
Publicado: (2023) -
Machine learning predicts rate of cartilage loss: data from the osteoarthritis initiative (OAI) and the multicenter osteoarthritis (most) studies
por: Paixão, T., et al.
Publicado: (2020)