Deep Learning for Predicting Progression of Patellofemoral Osteoarthritis Based on Lateral Knee Radiographs, Demographic Data, and Symptomatic Assessments.

Journal: Methods of information in medicine
PMID: 38604249

Abstract

OBJECTIVE: In this study, we propose a novel framework that utilizes deep learning and attention mechanisms to predict the radiographic progression of patellofemoral osteoarthritis (PFOA) over a period of 7 years.

Authors

  • Neslihan Bayramoglu
    Faculty of Medicine, University of Oulu, Oulu, Finland.
  • Martin Englund
    Orthopaedics, Department of Clinical Sciences Lund Faculty of Medicine, Lund University, Lund, Sweden.
  • Ida K Haugen
    Center for Treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway.
  • Muneaki Ishijima
    Department of Orthopaedics, Faculty of Medicine, Juntendo University, Tokyo, Japan.
  • Simo Saarakkala
    Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.

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