{"id":"W4417039639","doi":"10.1007/s00330-025-12190-z","title":"Equitable and sustainable AI in health in LIMCs: strengthening local systems, not imposing solutions","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Healthcare Facilities Design and Sustainability","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Interventional radiology; Public health; Neuroradiology; Sustainable development; Sustainability","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":[],"consensus_categories":[],"category_scores_codex":[0.01082801,0.0001115002,0.0003249785,0.0002909058,0.0007850019,0.00006987737,0.0001850128,0.00008671049,0.000007874633],"category_scores_gemma":[0.0009985674,0.0001212872,0.00002453906,0.0004973875,0.0004735887,0.000161287,0.0001851891,0.0003785604,0.000004069374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490053,"about_ca_system_score_gemma":0.001405011,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04831048,"about_ca_topic_score_gemma":0.005173187,"domain_scores_codex":[0.9916072,0.005863036,0.0005541045,0.0003530299,0.00008663775,0.001535948],"domain_scores_gemma":[0.9990451,0.000482555,0.00006162033,0.0001813525,0.00008687102,0.0001425398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007801079,0.00007384519,0.01350326,0.0005959999,0.00001197022,0.0001748666,0.03077444,0.00128755,0.00001569532,0.9258031,0.003104502,0.02457681],"study_design_scores_gemma":[0.001221459,0.0002736305,0.02315033,0.000235115,0.000004966028,0.00001503803,0.3588592,0.00396206,0.000001451465,0.005622257,0.6063088,0.0003456758],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7105019,0.02906544,0.03192572,0.09650622,0.001537411,0.003773621,0.0000363982,0.0004611925,0.1261921],"genre_scores_gemma":[0.9944812,0.0003791435,0.00005781721,0.001297752,0.00005236912,0.00001248712,0.000004818023,0.000007924976,0.003706495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9201808,"threshold_uncertainty_score":0.9580269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0298684150620665,"score_gpt":0.3329786423362586,"score_spread":0.3031102272741921,"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."}}