{"id":"W3087003429","doi":"10.1016/j.clinimag.2020.09.005","title":"Artificial intelligence in stroke imaging: Current and future perspectives","year":2020,"lang":"en","type":"review","venue":"Clinical Imaging","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Workflow; Artificial intelligence; Context (archaeology); Medicine; Machine learning; Neuroimaging; Deep learning; Artificial neural network; Applications of artificial intelligence; Data science; Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.0006531727,0.0005011984,0.002209111,0.0002597563,0.0000408308,0.00007339585,0.0002822197,0.0001244406,0.00008407969],"category_scores_gemma":[0.0007322814,0.0004166931,0.0006037624,0.0003563197,0.0003755702,0.00009223681,0.0005262145,0.002096297,0.000104748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001994963,"about_ca_system_score_gemma":0.0002487641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003410325,"about_ca_topic_score_gemma":6.198824e-7,"domain_scores_codex":[0.9963914,0.0001802595,0.001586872,0.001132383,0.0003004368,0.0004086894],"domain_scores_gemma":[0.9983244,0.0004360197,0.0003880984,0.0004796546,0.00006941248,0.0003023951],"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":[0.00001776076,0.0001521341,0.0008143282,0.003280927,0.0000915928,0.0003286267,0.0001634225,1.33895e-8,1.511021e-7,0.0002738953,0.003402795,0.9914743],"study_design_scores_gemma":[0.0001279647,0.00002957256,0.00009031926,0.00571076,0.00100427,0.00007863386,0.001400069,0.0004016475,3.671152e-7,0.00005215227,0.9907795,0.0003247376],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000005218089,0.9895509,0.0009899675,0.00468331,0.001031848,0.0009345628,0.00002264767,0.00008887726,0.002692706],"genre_scores_gemma":[0.00007142157,0.9939271,0.0014192,0.0002921664,0.004067616,0.00004535043,0.00003956302,0.00006840485,0.00006918856],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9911496,"threshold_uncertainty_score":0.9998285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1057719278361702,"score_gpt":0.4591412249063513,"score_spread":0.3533692970701812,"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."}}