{"id":"W4417131372","doi":"10.1109/jbhi.2025.3633963","title":"Guest Editorial: Special Issue on Foundation Models in Medical Imaging","year":2025,"lang":"","type":"article","venue":"IEEE Journal of Biomedical and Health Informatics","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medical imaging; Foundation (evidence); Medical services; Computed tomography; Ultrasonic imaging","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007353669,0.0003623707,0.001347858,0.001496289,0.0002069401,0.0001114852,0.0003933901,0.00054394,0.0005594619],"category_scores_gemma":[0.0006858624,0.0002966843,0.0001537671,0.0009110458,0.000572676,0.0006736177,0.00009697141,0.00233446,0.00004847137],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274269,"about_ca_system_score_gemma":0.006636905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001549152,"about_ca_topic_score_gemma":0.00004680073,"domain_scores_codex":[0.9904662,0.0001708421,0.005302561,0.0001769441,0.003107148,0.0007762434],"domain_scores_gemma":[0.9952351,0.0007019934,0.00180853,0.0002597655,0.0004849469,0.00150964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00036093,0.0005067149,0.000623922,0.00225264,0.00006690147,0.00005634139,0.003029912,0.00002939264,5.245942e-7,0.0002461588,0.705198,0.2876286],"study_design_scores_gemma":[0.007385647,0.001410141,0.0005837999,0.01441534,0.0001026022,0.0001510824,0.001720722,0.02753245,0.00001659552,0.001435817,0.9450411,0.0002047499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.003036696,0.003359925,0.008154642,0.3952521,0.5807176,0.001050708,0.00003626952,0.00002456496,0.008367523],"genre_scores_gemma":[0.01675749,0.1118813,0.001434414,0.03571168,0.8339935,0.000013093,0.00002387172,0.00003510971,0.0001495734],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3595405,"threshold_uncertainty_score":0.9999672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03034118153025674,"score_gpt":0.3843409478930221,"score_spread":0.3539997663627654,"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."}}