Researchers evaluated fluorescence optical imaging as a method to accurately and rapidly diagnose rheumatic diseases of the hands.
By Hugo Francisco de SouzaAug 24 2023Reviewed by Sophia Coveney In a recent study published in the journal Frontiers in Medicine, researchers evaluated fluorescence optical imaging as a method to accurately and rapidly diagnose rheumatic diseases of the hands.
Recently, fluorescence optical imaging techniques have been employed for studying these diseases. This non-invasive technique takes advantage of rheumatic inflammation-induced microcirculation impairments to identify and characterize the type of rheumatic disease. This data was compiled into three cohorts – osteoarthritis , rheumatoid arthritis , and connective tissue diseases based on clinical diagnoses. In all cohorts, diagnoses made without knowledge of FOI images were sufficient for study inclusion.
These image features included five joint-related features, two finger-related features, two nail features, four connective tissue features, and seven other features, five of which have been identified and described in this study for the first time. This resulted in the filtering and ranking features using ML models, achieved using the phi-coefficient, the relief algorithm MultiSURF, Mean Decrease Impurity , and Mean Decrease Accuracy .
Ten ML algorithms were trained and tested with cohort data, with the gradient boosting machine model identified as the best performing. The GBM model comprises a set of single ML models with stage-wise combinations of these models improving overall performance.
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