{"id":"W4390670650","doi":"10.1177/08465371231220885","title":"Deep Learning for Pneumothorax Detection on Chest Radiograph: A Diagnostic Test Accuracy Systematic Review and Meta Analysis","year":2024,"lang":"en","type":"review","venue":"Canadian Association of Radiologists Journal","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Toronto; McMaster University","funders":"","keywords":"Medicine; Chest radiograph; Pneumothorax; Confidence interval; Medical diagnosis; Meta-analysis; Radiography; Radiology; Contingency table; Medical physics; Machine learning; Internal medicine","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":[0.01945287,0.002267204,0.01353065,0.005964964,0.0005729331,0.003057424,0.002346133,0.00208253,0.003313106],"category_scores_gemma":[0.05788809,0.001133246,0.03143642,0.005932132,0.0008314216,0.002135783,0.00164158,0.002232996,0.0002838062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002804457,"about_ca_system_score_gemma":0.003523199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006856916,"about_ca_topic_score_gemma":0.01360231,"domain_scores_codex":[0.9872181,0.006915014,0.003094597,0.001041532,0.001385814,0.0003449732],"domain_scores_gemma":[0.9526225,0.03983896,0.00401223,0.0009019242,0.00232079,0.0003035788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002570828,0.00005131225,0.007891278,0.432709,0.5219383,0.0001300092,0.00008500177,0.001052222,0.0001774922,0.0002181153,0.001255296,0.03192113],"study_design_scores_gemma":[0.0008192555,0.0002454176,0.004535839,0.0453587,0.9458841,0.0001176153,0.00003883255,0.000715552,0.0001339926,0.0004711409,0.001647123,0.00003247943],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004375745,0.9931782,0.0009324774,0.0003448384,0.0001079303,0.0002651963,0.0005190843,0.00002885708,0.0002477019],"genre_scores_gemma":[0.2183988,0.7720937,0.005046736,0.001192337,0.0003732808,0.001459097,0.001084664,0.00004122095,0.0003101494],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01945287,"threshold_uncertainty_score":0.1028779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05257386819390675,"score_gpt":0.3589982051091664,"score_spread":0.3064243369152597,"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."}}