{"id":"W4413397320","doi":"10.71000/t761gz19","title":"APPLICATION OF ARTIFICIAL INTELLIGENCE IN DETECTING MUSCULOSKELETAL ABNORMALITIES THROUGH AUTOMATED RADIOGRAPHIC IMAGE ANALYSIS: SYSTEMATIC REVIEW","year":2025,"lang":"en","type":"article","venue":"Insights-Journal of Life and Social Sciences","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Radiography; Computer science; Computer vision; Psychology; Medicine; Pattern recognition (psychology); Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001226368,0.00008682568,0.0006238082,0.0004724047,0.0001253637,0.00004724761,0.0001937831,0.00004033437,0.000003137892],"category_scores_gemma":[0.0002457057,0.00006225451,0.0002083621,0.002729268,0.0002922015,0.0002637381,0.00001445807,0.0001292836,3.437054e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001787879,"about_ca_system_score_gemma":0.00004799967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009170076,"about_ca_topic_score_gemma":0.00004042061,"domain_scores_codex":[0.9984397,0.0001346967,0.0008947136,0.00009647225,0.0003122541,0.0001221708],"domain_scores_gemma":[0.9993834,0.0001581862,0.0002659439,0.00005816317,0.0001042262,0.00003005808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004142675,0.00075891,0.03653378,0.7096335,0.01324618,0.0001012669,0.06300832,0.04907924,0.009455456,0.06284437,0.0006468709,0.05465064],"study_design_scores_gemma":[0.0001756881,0.00008045526,0.002200246,0.0206925,0.004173791,0.000008800621,0.01634169,0.9457051,0.0007469961,0.009407899,0.0000356324,0.0004312058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6897696,0.1009399,0.2065976,0.0008987696,0.0002257623,0.0003501796,0.000002487928,0.0001208097,0.001094864],"genre_scores_gemma":[0.9964364,0.002878236,0.0005528153,0.00008876987,0.00003518848,0.000004753018,4.410704e-7,0.000002128206,0.000001334974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8966259,"threshold_uncertainty_score":0.2538665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167506732928068,"score_gpt":0.3119773188375003,"score_spread":0.2952266455446935,"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."}}