{"id":"W4412492683","doi":"10.1038/s41746-025-01867-w","title":"Commercialization of medical artificial intelligence technologies: challenges and opportunities","year":2025,"lang":"en","type":"article","venue":"npj Digital Medicine","topic":"Aortic aneurysm repair treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"HORIZON EUROPE Framework Programme","keywords":"Commercialization; Computer science; Artificial intelligence; Data science; Business; Marketing","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":[0.0002163851,0.0001439471,0.0004139772,0.0002238254,0.00003064026,0.000006681762,0.0001192244,0.0001790663,0.00007007413],"category_scores_gemma":[0.001620622,0.0001049767,0.00003253209,0.0001364576,0.0009047161,0.00007452253,0.0001178373,0.0001326865,0.000003596162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003152962,"about_ca_system_score_gemma":0.0001222075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001225792,"about_ca_topic_score_gemma":0.000004728851,"domain_scores_codex":[0.9986092,0.00001587311,0.0004857591,0.0002186853,0.0005171882,0.00015323],"domain_scores_gemma":[0.9992373,0.0002072277,0.0000936175,0.0002595515,0.0001092304,0.0000930491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007817585,0.000188063,0.001244926,0.0002688911,0.00007909665,0.0001057119,0.0004329209,8.920165e-8,0.00002771355,0.120107,0.0005123989,0.876955],"study_design_scores_gemma":[0.009657633,0.01825924,0.06692872,0.03229522,0.003107917,0.002352643,0.247745,0.008123889,0.01722037,0.4555929,0.1367538,0.001962692],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3344346,0.04332263,0.01254551,0.3723065,0.0007408251,0.001437949,0.00002434044,0.001098689,0.2340889],"genre_scores_gemma":[0.9898346,0.00914399,0.0000698999,0.0003814325,0.00004450557,0.00001513771,0.00002575503,0.000009901143,0.000474749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8749923,"threshold_uncertainty_score":0.4280826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.119661659644907,"score_gpt":0.3520822280665745,"score_spread":0.2324205684216674,"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."}}