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

CONCLUSION: This study demonstrated the potential of machine learning models to predict the progression of PFOA using imaging and clinical variables. These models could be used to identify patients who are at high risk of progression and prioritize them for new treatments. However, even though the accuracy of the models were excellent in this study using the MOST dataset, they should be still validated using external patient cohorts in the future.PMID:38604249 | DOI:10.1055/a-2305-2115

Source: Methods of Information in Medicine - April 11, 2024 Category: Information Technology Authors: Neslihan Bayramoglu Martin Englund Ida K Haugen Muneaki Ishijima Simo Saarakkala Source Type: research