{"id":"W4409584267","doi":"10.1093/rap/rkae147","title":"AI for imaging evaluation in rheumatology: applications of radiomics and computer vision—current status, future prospects and potential challenges","year":2025,"lang":"en","type":"review","venue":"Rheumatology Advances in Practice","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Technische Universität München","keywords":"Medicine; Radiomics; Modalities; Rheumatology; Immune status; Medical physics; Medical imaging; Intensive care medicine; Internal medicine; Radiology; Immune system; Immunology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001963033,0.0009579239,0.001917819,0.003183414,0.000277824,0.001847196,0.001134559,0.001800022,0.003517478],"category_scores_gemma":[0.002655344,0.0003852764,0.0008827426,0.002694741,0.001114047,0.002100995,0.0009550892,0.002590879,0.001932689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008010173,"about_ca_system_score_gemma":0.001702913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00152391,"about_ca_topic_score_gemma":0.002167905,"domain_scores_codex":[0.9992926,0.0001845839,0.0001015112,0.00009351179,0.000274972,0.00005280308],"domain_scores_gemma":[0.9976514,0.001569058,0.0001616317,0.00004836806,0.000487552,0.00008191239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005276245,0.00005070657,0.0002446603,0.01581581,0.0001202832,0.0001134623,0.00008041731,0.0003061686,0.0008829946,0.004400682,0.01857194,0.9593601],"study_design_scores_gemma":[0.00003223091,0.0001829821,0.001761244,0.01199962,0.0002440163,0.002199419,0.0001756545,0.0004702384,0.0006391736,0.006477611,0.9757596,0.00005826003],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006712291,0.9983687,0.0002518739,0.0004002063,0.0002065437,0.000005077745,0.00000751684,0.000008366055,0.0006845281],"genre_scores_gemma":[0.0007105608,0.9977826,0.0005448892,0.0003207694,0.0003361198,0.000007585239,0.0000159689,0.000003040493,0.0002784858],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003517478,"threshold_uncertainty_score":0.01176715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489335528903889,"score_gpt":0.4048691339774202,"score_spread":0.3899757786883813,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}