{"id":"W7143698314","doi":"10.71465/ajainn470","title":"AI in Healthcare Imaging: Enhancing Diagnosis with Neural Networks","year":2022,"lang":"","type":"article","venue":"American Journal of Artificial Intelligence and Neural Networks","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Convolutional neural network; Health care; Medical imaging; Deep learning; Artificial neural network; Applications of artificial intelligence; Healthcare industry","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002319001,0.0007124843,0.001597782,0.0008766187,0.001052036,0.0002391938,0.000601306,0.0001390742,0.0002864418],"category_scores_gemma":[0.0002388998,0.0006582692,0.0003302943,0.003105876,0.001243198,0.0006639452,0.0002533708,0.004574717,0.000003049618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006072402,"about_ca_system_score_gemma":0.000599364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005420902,"about_ca_topic_score_gemma":0.001833971,"domain_scores_codex":[0.9916663,0.001265934,0.003464037,0.0008806705,0.001029571,0.001693482],"domain_scores_gemma":[0.9940773,0.001492381,0.00214648,0.0005023691,0.000773161,0.001008276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002680671,0.0004249956,0.08173234,0.00004284466,0.00006138351,0.0005994809,0.00267567,0.2964887,0.00001760225,0.0001578859,0.0001738149,0.6149446],"study_design_scores_gemma":[0.0000838639,0.01138632,0.002349614,0.0005420803,0.0002611699,0.001679127,0.04503929,0.9363234,0.0005394656,0.0007616914,0.0003128,0.0007211848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8745964,0.02170817,0.03541838,0.06218208,0.005033175,0.001006601,0.000009043634,0.0000348822,0.00001130592],"genre_scores_gemma":[0.9769284,0.006157037,0.0001569149,0.01362068,0.002915867,0.0000902001,0.00001387973,0.0001025506,0.00001449915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6398346,"threshold_uncertainty_score":0.9995869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06032024797654365,"score_gpt":0.3662035621730645,"score_spread":0.3058833141965209,"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."}}