{"id":"W2979307665","doi":"10.1136/neurintsurg-2019-015135","title":"Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review","year":2019,"lang":"en","type":"review","venue":"Journal of NeuroInterventional Surgery","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":299,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Triage; Artificial intelligence; Stroke (engine); Convolutional neural network; Machine learning; Deep learning; Radiology; Computer science; Medical emergency","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004713631,0.00122513,0.005253297,0.008042601,0.0004799181,0.002030927,0.001520166,0.001497482,0.004062259],"category_scores_gemma":[0.03184146,0.0007313469,0.005672371,0.007648739,0.000638633,0.001721316,0.0008821494,0.0009882626,0.0003502918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002506919,"about_ca_system_score_gemma":0.007183837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008470109,"about_ca_topic_score_gemma":0.02590422,"domain_scores_codex":[0.995902,0.001223093,0.001561826,0.0003496975,0.0008509869,0.0001124651],"domain_scores_gemma":[0.9705498,0.02441957,0.002572039,0.0002887405,0.001970793,0.0001989906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001874828,0.00002620501,0.001726178,0.9080951,0.00993646,0.00007196987,0.0001364644,0.000148285,0.00009628263,0.0002461464,0.002655794,0.07667356],"study_design_scores_gemma":[0.0002194769,0.0002393129,0.007856787,0.8983296,0.07042314,0.0004422542,0.0002073227,0.0002479974,0.0001787099,0.0004358757,0.02137458,0.00004483223],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005719265,0.9986547,0.0001050999,0.0001661562,0.00004723567,0.00008584239,0.0001650528,0.000005363809,0.0001985975],"genre_scores_gemma":[0.009510176,0.9890811,0.0005328961,0.0003889482,0.00006312676,0.0001953253,0.0001619146,0.000003807921,0.00006264262],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008470109,"threshold_uncertainty_score":0.02492833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09878117516006805,"score_gpt":0.38713626114345,"score_spread":0.2883550859833819,"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."}}