{"id":"W4311610036","doi":"10.1145/3576898","title":"Deep Learning Techniques for COVID-19 Diagnosis and Prognosis Based on Radiological Imaging","year":2022,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Coronavirus disease 2019 (COVID-19); Deep learning; Artificial intelligence; Pandemic; Categorization; Medical imaging; Data science; Machine learning; Medicine; Infectious disease (medical specialty); Disease; Pathology","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":[0.001630891,0.0008470212,0.0008001545,0.003411376,0.0001847382,0.001018185,0.0009869034,0.000873905,0.003260535],"category_scores_gemma":[0.005397369,0.0003119459,0.0009711462,0.002376363,0.0003780732,0.001634536,0.0007797156,0.001520319,0.001748937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006816429,"about_ca_system_score_gemma":0.001146644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002617146,"about_ca_topic_score_gemma":0.003027249,"domain_scores_codex":[0.9994204,0.0001491652,0.00007152158,0.0001115066,0.0002081138,0.00003933952],"domain_scores_gemma":[0.9979444,0.001422545,0.0001119305,0.00007084695,0.0004029516,0.00004736324],"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":[0.00003173515,0.00005062691,0.001589159,0.00275026,0.0001234623,0.00005583222,0.00003598768,0.00322205,0.0004088029,0.003108674,0.01312891,0.9754946],"study_design_scores_gemma":[0.00007933906,0.0006872568,0.01912419,0.02102855,0.001570825,0.00419597,0.0004031853,0.1163737,0.008888588,0.05953491,0.7678353,0.0002780892],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003619035,0.9108925,0.07205897,0.003771472,0.000736604,0.00007537044,0.0004945055,0.0003632886,0.007988194],"genre_scores_gemma":[0.04136478,0.9155789,0.03660288,0.001123569,0.0009758822,0.00008621966,0.0009612397,0.00004903414,0.003257593],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003411376,"threshold_uncertainty_score":0.01090753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1335844694086274,"score_gpt":0.4156542077822606,"score_spread":0.2820697383736332,"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."}}