{"id":"W4313648826","doi":"10.3390/s23020634","title":"Survey of Explainable AI Techniques in Healthcare","year":2023,"lang":"en","type":"review","venue":"Sensors","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":530,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Interpretability; Deep learning; Categorization; Health care; Computer science; Field (mathematics); Artificial intelligence; Data science; Medical imaging","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":[0.001294351,0.001143018,0.0009602106,0.00325498,0.0002888002,0.001334063,0.001207325,0.001393165,0.005972727],"category_scores_gemma":[0.004085529,0.000537514,0.001056194,0.004093396,0.0007151105,0.002204362,0.000900509,0.001644166,0.001782413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037854,"about_ca_system_score_gemma":0.001507472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001905756,"about_ca_topic_score_gemma":0.001662832,"domain_scores_codex":[0.9994193,0.0001474912,0.00007855655,0.0001125524,0.0002038648,0.00003823418],"domain_scores_gemma":[0.9969644,0.002436263,0.0001224623,0.00009444272,0.0003314248,0.00005099644],"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":[0.00005380871,0.00007820936,0.0004299702,0.02311164,0.0001689509,0.0001141979,0.0001505031,0.00217627,0.0006345893,0.02599327,0.01945716,0.9276315],"study_design_scores_gemma":[0.00002218195,0.0001743957,0.001801429,0.0152458,0.000279563,0.0009320066,0.0001771926,0.003487269,0.001594083,0.03017575,0.946038,0.00007246125],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003039836,0.9913995,0.003937303,0.0007418128,0.0001919775,0.00001711857,0.00004090478,0.00002913794,0.003338223],"genre_scores_gemma":[0.003383144,0.9924677,0.002667774,0.0003310005,0.0003443256,0.00002300914,0.00007262114,0.00001034734,0.0007001479],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005972727,"threshold_uncertainty_score":0.01998073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.172470138057368,"score_gpt":0.4127461832334518,"score_spread":0.2402760451760838,"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."}}