{"id":"W4394009485","doi":"10.7759/cureus.57728","title":"AI-Driven Clinical Decision Support Systems: An Ongoing Pursuit of Potential","year":2024,"lang":"en","type":"article","venue":"Cureus","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":230,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; Hospital for Sick Children","funders":"","keywords":"Clinical decision support system; Workflow; Interpretability; Usability; Artificial intelligence; Computer science; Health care; Transformative learning; Decision support system; Knowledge management; Data science; Psychology; Human–computer interaction; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03798308,0.0009428455,0.001728239,0.002439172,0.001362002,0.009473548,0.003417731,0.006494253,0.004932513],"category_scores_gemma":[0.05990035,0.0007056456,0.001425768,0.003464841,0.006549418,0.01713406,0.005034668,0.009321978,0.001684082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003602256,"about_ca_system_score_gemma":0.01431884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0018185,"about_ca_topic_score_gemma":0.002076968,"domain_scores_codex":[0.9830436,0.01064237,0.001260267,0.001155517,0.003462845,0.0004353769],"domain_scores_gemma":[0.8537678,0.1264615,0.002638143,0.00325691,0.01152974,0.002345914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001150763,0.0001650832,0.00139283,0.01266024,0.0001818541,0.0001716856,0.002329703,0.004160451,0.0009803912,0.2622439,0.02300881,0.69259],"study_design_scores_gemma":[0.00006314527,0.0002742886,0.001153987,0.01990712,0.0001466833,0.0004876764,0.003801248,0.00858293,0.001045926,0.3666494,0.5977335,0.0001540946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.003711456,0.7411598,0.0635474,0.1760275,0.002384221,0.0001263499,0.0001434945,0.0002569369,0.01264284],"genre_scores_gemma":[0.07601471,0.7788826,0.1133338,0.02375586,0.005302038,0.0004182926,0.0003366825,0.0001279105,0.001828191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03798308,"threshold_uncertainty_score":0.2008761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0376480282517161,"score_gpt":0.3997391266605912,"score_spread":0.3620910984088752,"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."}}