{"id":"W3184797773","doi":"10.1093/cid/ciab639","title":"Chest X-ray Analysis With Deep Learning-Based Software as a Triage Test for Pulmonary Tuberculosis: An Individual Patient Data Meta-Analysis of Diagnostic Accuracy","year":2021,"lang":"en","type":"review","venue":"Clinical Infectious Diseases","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Lunit; National Institute on Drug Abuse; McGill University; World Health Organization","keywords":"Medicine; Tuberculosis; Meta-analysis; Confidence interval; Internal medicine; Triage; Receiver operating characteristic; Human immunodeficiency virus (HIV); Pathology; Immunology; Emergency medicine","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":[0.01909528,0.002422551,0.008754707,0.002986622,0.0004997796,0.003028268,0.002007944,0.002406804,0.002152286],"category_scores_gemma":[0.03822712,0.001262297,0.04935633,0.003565306,0.0007765568,0.00161871,0.001450511,0.003040392,0.0003244541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315709,"about_ca_system_score_gemma":0.0009969472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005771044,"about_ca_topic_score_gemma":0.005994417,"domain_scores_codex":[0.9834189,0.01086692,0.002091566,0.002140421,0.001104276,0.000377834],"domain_scores_gemma":[0.9654171,0.02785119,0.00301213,0.001968725,0.001415323,0.0003354693],"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":[0.008314898,0.00003850915,0.01737768,0.0217874,0.9405264,0.00007292067,0.00004410319,0.001503355,0.0002447693,0.000124356,0.000523045,0.00944248],"study_design_scores_gemma":[0.001090583,0.0003920523,0.007623598,0.001814609,0.9864745,0.00006709544,0.00001978535,0.001175299,0.0001666663,0.000363632,0.000792835,0.00001939412],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.07852685,0.9114332,0.00499251,0.0008762839,0.0006705675,0.0002250144,0.001808841,0.0001637364,0.001303003],"genre_scores_gemma":[0.8994984,0.09106518,0.004691761,0.001284859,0.0004913696,0.0004366212,0.001744632,0.0001327509,0.0006544423],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01909528,"threshold_uncertainty_score":0.1009867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2159280593069415,"score_gpt":0.4670708286540841,"score_spread":0.2511427693471426,"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."}}