{"id":"W3138745635","doi":"10.2196/25181","title":"Machine Learning Models for Image-Based Diagnosis and Prognosis of COVID-19: Systematic Review","year":2021,"lang":"en","type":"review","venue":"JMIR Medical Informatics","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Computer science; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Artificial intelligence; Medicine; Machine learning; Medical physics; Intensive care medicine; Pathology; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01192401,0.002019915,0.008667783,0.008694452,0.0004583764,0.002689906,0.002385121,0.002188056,0.004444601],"category_scores_gemma":[0.06439132,0.0009518131,0.0136252,0.00672086,0.0007339221,0.002421486,0.001037697,0.001409775,0.0004432218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003019165,"about_ca_system_score_gemma":0.007245048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008292814,"about_ca_topic_score_gemma":0.01468811,"domain_scores_codex":[0.9928307,0.002915155,0.002162462,0.0006136702,0.001317721,0.0001602811],"domain_scores_gemma":[0.9378915,0.05135766,0.006813018,0.0007817703,0.002933111,0.0002229102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0004596279,0.00005083008,0.003042064,0.869352,0.0401254,0.00007942262,0.00008564486,0.0009061727,0.00008837347,0.0003777155,0.002673536,0.08275913],"study_design_scores_gemma":[0.0004812369,0.0004186612,0.009380489,0.7226169,0.2438865,0.0003883188,0.0001593481,0.002258408,0.0002621647,0.001608948,0.01841945,0.0001195694],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006089925,0.9980476,0.0003755931,0.000295055,0.00008051431,0.0001480029,0.0003151183,0.00001190589,0.0001171917],"genre_scores_gemma":[0.02213345,0.9745585,0.001595747,0.0004792408,0.0001997074,0.0005107392,0.000412193,0.000009516319,0.0001009047],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01192401,"threshold_uncertainty_score":0.06306094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09813029221325138,"score_gpt":0.4170148302559619,"score_spread":0.3188845380427105,"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."}}