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Automated Radiographic Measurements of Knee Osteoarthritis.

H RayeganH Chien NguyenH WeinansW P GielisS Y Ahmadi BrooghaniR J H CustersN van EgmondClaudia LindnerVahid Arbabi
Published in: Cartilage (2023)
The current ODIA tool provides important measurements of OA parameters in an automated manner from standard radiographs of the knee. Given the automated and computerized methodology that has very high reproducibility, ODIA is suitable for large epidemiological cohorts with various follow-up time points to investigate structural progression, such as CHECK or the Osteoarthritis Initiative (OAI).
Keyphrases
  • knee osteoarthritis
  • deep learning
  • machine learning
  • high throughput
  • quality improvement
  • clinical decision support
  • total knee arthroplasty