{"id":"W4415620636","doi":"10.3390/informatics12040119","title":"Explainable AI for Clinical Decision Support Systems: Literature Review, Key Gaps, and Research Synthesis","year":2025,"lang":"en","type":"article","venue":"Informatics","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University; London Health Sciences Centre; Lawson Health Research Institute; Western University","funders":"","keywords":"Workflow; Interpretability; Usability; Key (lock); USable; Trustworthiness; Interface (matter); Decision support system","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":[],"consensus_categories":[],"category_scores_codex":[0.007943784,0.0001756053,0.0004385033,0.000378723,0.0004125174,0.0009877493,0.001190677,0.0002015677,0.000007197791],"category_scores_gemma":[0.006075905,0.0001464849,0.0001066922,0.001271093,0.0001217361,0.001773693,0.0006064209,0.000441943,0.0001151443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008715625,"about_ca_system_score_gemma":0.0003131988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001030553,"about_ca_topic_score_gemma":0.000004054682,"domain_scores_codex":[0.9970112,0.0002053414,0.001392647,0.0002714873,0.0005511537,0.0005681902],"domain_scores_gemma":[0.993549,0.003850147,0.0001796951,0.001039621,0.001220438,0.0001610391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004013002,0.00009151412,0.0002471177,0.007733461,0.00003976696,0.00002528144,0.002551134,0.0000641453,0.000004762348,0.2154038,0.5699107,0.2038882],"study_design_scores_gemma":[0.0001663508,0.0002171541,0.0000307575,0.01020864,0.00002277649,0.00003866371,0.001025257,0.1134375,0.000834794,0.01254086,0.861219,0.0002581573],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001236754,0.03041972,0.9496917,0.003716996,0.001320301,0.002191629,0.00002494742,0.0001953197,0.01120263],"genre_scores_gemma":[0.05827636,0.3526844,0.5491302,0.02449425,0.0006929344,0.002742343,0.00006395864,0.00008899706,0.01182658],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4005615,"threshold_uncertainty_score":0.952489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0760906994569553,"score_gpt":0.438377455874188,"score_spread":0.3622867564172327,"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."}}