{"id":"W4405313208","doi":"10.1016/j.diii.2024.11.002","title":"Artificial intelligence in emergency neuroradiology: Current applications and perspectives","year":2024,"lang":"en","type":"review","venue":"Diagnostic and Interventional Imaging","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Neuroradiology; Interventional neuroradiology; Neuroimaging; Medical physics; Modalities; Radiology; Neurology; Psychiatry","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":[0.00177101,0.0005736251,0.0006795977,0.001601118,0.000381509,0.002848842,0.0005906037,0.001742921,0.004792919],"category_scores_gemma":[0.003516195,0.0002371229,0.0006126413,0.001613344,0.00132108,0.002763598,0.0009732308,0.002265524,0.001279702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008884459,"about_ca_system_score_gemma":0.001932092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001112095,"about_ca_topic_score_gemma":0.001757039,"domain_scores_codex":[0.9993219,0.0002511732,0.00009288055,0.00009145453,0.0001847082,0.00005792992],"domain_scores_gemma":[0.9962141,0.002840354,0.0001908675,0.000069746,0.0005647151,0.0001202874],"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":[0.0000769995,0.00007485558,0.0008267047,0.01354849,0.00008332216,0.0002771481,0.0004487338,0.000930798,0.0006063178,0.0459257,0.03601741,0.9011836],"study_design_scores_gemma":[0.00001237915,0.0001681262,0.001755,0.0164124,0.0001051614,0.001512635,0.0005969307,0.0007864824,0.0004258954,0.03760582,0.9405663,0.0000529076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004208371,0.9884899,0.001043194,0.005050234,0.0007400224,0.000008695844,0.00001991119,0.00001588887,0.004211218],"genre_scores_gemma":[0.004263309,0.990993,0.0009794058,0.001671464,0.001427358,0.00001513487,0.00002587312,0.000006731267,0.0006176605],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004792919,"threshold_uncertainty_score":0.01603395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0697225901717718,"score_gpt":0.4011910479840465,"score_spread":0.3314684578122747,"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."}}