{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001533518,0.000701662,0.0004766274,0.001066938,0.0003672291,0.00148278,0.0008738879,0.001568229,0.002409684],"category_scores_gemma":[0.008909164,0.0003230174,0.0003336072,0.0006505033,0.0008424789,0.002430974,0.001471758,0.001707065,0.000684768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203422,"about_ca_system_score_gemma":0.0009420198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004485944,"about_ca_topic_score_gemma":0.004479494,"domain_scores_codex":[0.999279,0.000262051,0.00004089557,0.0001137132,0.0002502953,0.00005411204],"domain_scores_gemma":[0.9976518,0.001517824,0.0001861416,0.0001302618,0.0004257148,0.00008826573],"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":[0.0002952765,0.0002366902,0.005264146,0.0004527588,0.0001097977,0.000386732,0.0003217716,0.2634842,0.01266063,0.05526371,0.01218838,0.6493359],"study_design_scores_gemma":[0.00001674783,0.00006595855,0.0007314513,0.00008891129,0.00003169033,0.0002011316,0.00005638743,0.9339925,0.005020835,0.05237855,0.007389593,0.00002619495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02606962,0.01009229,0.9301925,0.01370889,0.0005446332,0.0001015853,0.0001464712,0.001257502,0.01788654],"genre_scores_gemma":[0.6671619,0.00795385,0.3144904,0.002626634,0.0007107364,0.0001044523,0.000212476,0.0001392633,0.006600252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004485944,"threshold_uncertainty_score":0.008919656,"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."}}