{"id":"W4407183498","doi":"10.1111/acem.15099","title":"Artificial intelligence–based clinical decision support in the emergency department: A scoping review","year":2025,"lang":"en","type":"review","venue":"Academic Emergency Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network; University of Alberta; McGill University; University of Calgary; Jewish General Hospital; University of Ottawa; Ottawa Hospital; Queensway-Carleton Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Emergency department; MEDLINE; Clinical decision support system; Scopus; Patient care; Protocol (science); Decision support system; Artificial intelligence; Pathology; Alternative medicine; Nursing; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03430483,0.00173091,0.005458415,0.02666491,0.001461683,0.006176949,0.003085051,0.004619248,0.004477855],"category_scores_gemma":[0.1597549,0.00153482,0.006069164,0.02808574,0.00215524,0.006336904,0.003099523,0.002457976,0.0006632595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007245711,"about_ca_system_score_gemma":0.02658037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008585221,"about_ca_topic_score_gemma":0.01327219,"domain_scores_codex":[0.9702697,0.01282983,0.01143212,0.00127455,0.003695201,0.0004987387],"domain_scores_gemma":[0.8072519,0.1642425,0.01507632,0.002005038,0.0107399,0.0006844069],"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":[0.0001238997,0.00004982614,0.0007112746,0.8228963,0.002081909,0.0001464607,0.00084476,0.000476004,0.0001282557,0.002298656,0.005194432,0.1650483],"study_design_scores_gemma":[0.00003056835,0.00004480159,0.0007117268,0.9729494,0.003059297,0.0001130191,0.0002900073,0.000136997,0.00007147581,0.0007345351,0.02183968,0.00001856699],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000421487,0.9967036,0.0004225569,0.001028844,0.000204869,0.0004113376,0.0001368472,0.000008293368,0.000662248],"genre_scores_gemma":[0.006024653,0.9900876,0.001792557,0.0006567357,0.0001868214,0.0009289273,0.0001949625,0.000006384293,0.0001214288],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03430483,"threshold_uncertainty_score":0.1814234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5065473532345331,"score_gpt":0.6238442870064822,"score_spread":0.1172969337719491,"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."}}