{"id":"W4313584126","doi":"10.3390/diagnostics13010159","title":"A Review of Recent Advances in Deep Learning Models for Chest Disease Detection Using Radiography","year":2023,"lang":"en","type":"review","venue":"Diagnostics","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"New Brunswick Innovation Foundation; Fondation de la recherche en santé du Nouveau-Brunswick","keywords":"Interpretability; Deep learning; Computer science; Artificial intelligence; Preprocessor; Machine learning; Medical imaging; Radiography; Modalities; Medical physics; Medicine; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007117662,0.000457224,0.002429266,0.0008831304,0.00006797763,0.00001974012,0.0001665991,0.0002196037,0.000009017303],"category_scores_gemma":[0.01679512,0.0004317327,0.0008625924,0.002045452,0.00007614914,0.0001581557,0.00007447597,0.0005067252,0.000004934513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004276308,"about_ca_system_score_gemma":0.000497488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002158837,"about_ca_topic_score_gemma":0.0000279879,"domain_scores_codex":[0.9972447,0.0002063603,0.001223417,0.0005891393,0.0003397653,0.0003966092],"domain_scores_gemma":[0.9924772,0.005734683,0.0007868133,0.0004759343,0.0003012701,0.0002241294],"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":[0.00001304403,0.0001174613,0.00005259991,0.3930975,0.00006318528,0.00002770689,0.00001448075,0.0008667267,5.195e-8,0.00001082041,0.0000991827,0.6056373],"study_design_scores_gemma":[0.000256036,0.00008015225,0.00001141983,0.3577371,0.002962682,0.00000506453,0.000004834757,0.002558564,6.533754e-7,0.0000745447,0.6360807,0.0002282665],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002278514,0.9902694,0.005553017,0.000217678,0.0004592584,0.003306225,0.00008386902,0.0001028819,0.000005377362],"genre_scores_gemma":[0.000002523626,0.9966288,0.0009012509,0.0008138924,0.000245472,0.0009014063,0.000337125,0.0001647208,0.00000476998],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6359815,"threshold_uncertainty_score":0.9998134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1498313794578548,"score_gpt":0.4186121698317783,"score_spread":0.2687807903739236,"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."}}