(14) demonstrated the ability of deep learning models using joint bone shapes (AUROC for RA: 75.4%) to differentiate arthritis types, highlighting the potential of combining this structural data with FAPI’s molecular information in a bimodal model to mitigate FAP’s limited diagnostic specificity. This evidence concerns the gene FAP and rheumatoid arthritis.