{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03130026,0.001699152,0.003115145,0.01339029,0.001552882,0.008559666,0.003306956,0.004306843,0.006639477],"category_scores_gemma":[0.1026218,0.001556966,0.003181404,0.0135711,0.003760952,0.009597941,0.003851984,0.005373019,0.001304084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006414279,"about_ca_system_score_gemma":0.03031368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008936848,"about_ca_topic_score_gemma":0.01176769,"domain_scores_codex":[0.9852906,0.006511801,0.003955369,0.001145653,0.002642326,0.0004542687],"domain_scores_gemma":[0.7932544,0.1815682,0.005385619,0.002999253,0.01567467,0.001117837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001476428,0.0001403002,0.0008573205,0.338871,0.0006068715,0.0001912279,0.002277005,0.001682851,0.0004210401,0.03746061,0.01568087,0.6016633],"study_design_scores_gemma":[0.00005745882,0.0002241815,0.001978735,0.6075893,0.002409406,0.0005252605,0.002766002,0.001607395,0.0006641689,0.03737562,0.3446695,0.0001329965],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002557857,0.9932074,0.00164112,0.003843013,0.0002271166,0.00006773143,0.00006030061,0.00002631069,0.0006712574],"genre_scores_gemma":[0.00686172,0.9857644,0.004779606,0.001785739,0.0002938646,0.0002462312,0.0001312651,0.00002120049,0.0001158989],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03130026,"threshold_uncertainty_score":0.1655336,"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."}}