{"id":"W7160650470","doi":"10.4314/thrb.v26i5.23s","title":"Revolutionising Healthcare through Artificial Intelligence: A Systematic Review and Bibliometric Analysis","year":2025,"lang":"","type":"article","venue":"Tanzania journal of health research/Tanzania Journal of Health Research","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Scopus; Big data; Applications of artificial intelligence; Healthcare system; Healthcare industry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02082726,0.002024227,0.01098917,0.1069565,0.001828167,0.005140094,0.002897891,0.001929612,0.006369308],"category_scores_gemma":[0.09619189,0.001270386,0.0100486,0.09738596,0.001747929,0.004871361,0.003642673,0.001348082,0.000614152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008565435,"about_ca_system_score_gemma":0.03193711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01250579,"about_ca_topic_score_gemma":0.0298261,"domain_scores_codex":[0.9684752,0.00795534,0.01366193,0.001743266,0.007337198,0.0008270659],"domain_scores_gemma":[0.901725,0.06890181,0.01535521,0.001874445,0.01118015,0.0009634183],"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":[0.0001195784,0.0000285292,0.003553231,0.9382348,0.01047545,0.0002045961,0.0006750704,0.0002545655,0.0001302955,0.000666343,0.003580184,0.04207734],"study_design_scores_gemma":[0.0001703338,0.0001723627,0.01096164,0.8775731,0.07614021,0.0004894111,0.001446108,0.0003912217,0.0002539738,0.001217813,0.03107398,0.0001097084],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006855615,0.9787558,0.001468855,0.001636631,0.0002545528,0.002681823,0.006652667,0.00006709148,0.001626917],"genre_scores_gemma":[0.04718048,0.939662,0.003661585,0.0009005097,0.0001974096,0.0050935,0.002969377,0.00002882766,0.0003063248],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8930435,"threshold_uncertainty_score":0.1101464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5674162627395601,"score_gpt":0.6052719622043545,"score_spread":0.03785569946479439,"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."}}