{"id":"W2134486887","doi":"10.1109/rbme.2010.2082522","title":"Virtual and Augmented Medical Imaging Environments: Enabling Technology for Minimally Invasive Cardiac Interventional Guidance","year":2010,"lang":"en","type":"review","venue":"IEEE Reviews in Biomedical Engineering","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Canadian Institutes of Health Research","keywords":"Visualization; Augmented reality; Computer science; Virtual reality; Medical physics; Medical imaging; Minimally invasive procedures; Invasive surgery; Medicine; Human–computer interaction; Artificial intelligence; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.00170347,0.0005235876,0.002610778,0.0007729616,0.00004460209,0.0000213587,0.0002621659,0.0007873854,0.0001497294],"category_scores_gemma":[0.004038467,0.0004188961,0.0006648534,0.0006081773,0.0002553485,0.00006797493,0.0001329715,0.001320386,0.00002509938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001987983,"about_ca_system_score_gemma":0.0002149676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001109784,"about_ca_topic_score_gemma":0.00000109805,"domain_scores_codex":[0.9964622,0.00008478994,0.001717379,0.0006882917,0.0005300796,0.0005172744],"domain_scores_gemma":[0.9979689,0.0009298847,0.0003051993,0.0003183594,0.00002598799,0.0004517047],"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":[0.000007800852,0.00009589076,0.00002213581,0.009092586,0.0001038703,0.0000745674,0.00001156942,0.000001046266,0.00003365611,0.0001266476,0.00005685143,0.9903734],"study_design_scores_gemma":[0.001292043,0.0000789658,0.000006318084,0.05831619,0.0002993519,0.000110029,0.00001091951,0.001280859,0.000004644093,0.000006524772,0.9382745,0.0003196586],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005484936,0.9907862,0.00631428,0.0001816232,0.001000319,0.001521044,0.00003041602,0.00007511234,0.00003617727],"genre_scores_gemma":[0.0001106185,0.9956963,0.002491425,0.00009260765,0.000588417,0.0006736712,0.0002036044,0.0000781653,0.00006519591],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9900537,"threshold_uncertainty_score":0.9998263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03005310116376176,"score_gpt":0.3349010123193636,"score_spread":0.3048479111556019,"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."}}