{"id":"W4410076467","doi":"10.1007/s10462-025-11214-w","title":"Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques","year":2025,"lang":"en","type":"article","venue":"Artificial Intelligence Review","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Alberta; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Computer science; Interpretability; Software deployment; Psychological intervention; Artificial intelligence; Data science; Process management; Medicine; Software engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0008364235,0.0001418131,0.0004056242,0.0003433265,0.00009324553,0.00001989512,0.00005842054,0.00007272677,0.00003776393],"category_scores_gemma":[0.001824765,0.000124182,0.00008219094,0.002019497,0.00006922441,0.00006636601,0.00002653381,0.0003515497,0.00009708195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001042558,"about_ca_system_score_gemma":0.0001113944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003217434,"about_ca_topic_score_gemma":0.000392563,"domain_scores_codex":[0.9984152,0.0002829878,0.0006493707,0.0002797047,0.0001960442,0.0001766468],"domain_scores_gemma":[0.9987291,0.0004549743,0.0001246024,0.0002170316,0.0004382371,0.00003603143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002929743,0.0002506319,0.007028978,0.001887714,0.00005679238,0.00001556085,0.0002475215,0.0001292526,0.01279234,0.02390802,0.000929747,0.9524605],"study_design_scores_gemma":[0.0005489168,0.001347273,0.4313821,0.1066363,0.0005646514,0.000008741064,0.001055247,0.004497162,0.2893429,0.03891969,0.1239853,0.00171173],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4384296,0.1850784,0.2171094,0.04817433,0.007053128,0.02044997,0.0001255954,0.001681768,0.0818978],"genre_scores_gemma":[0.9571016,0.03986442,0.0005714144,0.001860336,0.00006196633,0.0001098496,0.0002669815,0.00001332149,0.000150053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9507487,"threshold_uncertainty_score":0.5063997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07471890793677392,"score_gpt":0.3971085548490244,"score_spread":0.3223896469122505,"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."}}