{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008578451,0.001202273,0.0008987076,0.001570861,0.0001813441,0.0009828494,0.001155383,0.0009565408,0.002875814],"category_scores_gemma":[0.002334638,0.0005270892,0.001047437,0.001981562,0.0002324525,0.001678356,0.0005716744,0.001311548,0.001565837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005365821,"about_ca_system_score_gemma":0.0008349156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003742018,"about_ca_topic_score_gemma":0.003757796,"domain_scores_codex":[0.9996872,0.00005479024,0.00005319505,0.00007800754,0.000102662,0.0000242781],"domain_scores_gemma":[0.999206,0.0004665083,0.00005129833,0.00002921987,0.000217935,0.00002902391],"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":[0.00008824781,0.00009497134,0.001431493,0.00569115,0.0002137976,0.0001389608,0.00006481444,0.01852457,0.001788062,0.00538473,0.02779318,0.938786],"study_design_scores_gemma":[0.00005071823,0.0006962925,0.004813293,0.006936753,0.001084858,0.001336631,0.0001721039,0.1828679,0.007036878,0.02164775,0.7731559,0.0002010818],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004323935,0.9085526,0.07686151,0.001914297,0.0009849804,0.0000443737,0.0004892686,0.0005910911,0.006237878],"genre_scores_gemma":[0.03057354,0.9240925,0.03600237,0.001142413,0.001583229,0.00007027952,0.001520504,0.0001382435,0.004876921],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003742018,"threshold_uncertainty_score":0.009620547,"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."}}