{"id":"W3034203354","doi":"10.1016/j.ymeth.2020.06.008","title":"Artificial intelligence and radiomics in pediatric molecular imaging","year":2020,"lang":"en","type":"review","venue":"Methods","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Computer science; Radiomics; Artificial intelligence; Medical imaging; Dictation; Artificial neural network; Machine learning; Deep learning; Pattern recognition (psychology)","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":[0.00181838,0.001116153,0.002109468,0.003851048,0.0002882383,0.001885546,0.001148903,0.002133726,0.005929096],"category_scores_gemma":[0.00319184,0.0004833655,0.0007956753,0.004161224,0.001436216,0.002681932,0.0009745845,0.002971838,0.002108615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009812112,"about_ca_system_score_gemma":0.001718334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002036072,"about_ca_topic_score_gemma":0.003331423,"domain_scores_codex":[0.999527,0.0001380351,0.00007602839,0.00007924693,0.0001492408,0.00003045856],"domain_scores_gemma":[0.9974506,0.001930321,0.0002129301,0.00004304714,0.0002878623,0.00007518753],"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":[0.00006560342,0.00007357269,0.0002400335,0.02369902,0.0001347473,0.0001159816,0.00007994988,0.0005984844,0.000485564,0.01001855,0.02606202,0.9384264],"study_design_scores_gemma":[0.00004859421,0.00017542,0.001519721,0.01589901,0.0003648961,0.001452155,0.0001241299,0.0006448726,0.0005239028,0.008308437,0.9708788,0.00006005501],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003604025,0.999062,0.000155301,0.0001684857,0.0001110635,0.000002312731,0.000006120853,0.000003009101,0.0004556723],"genre_scores_gemma":[0.0004159948,0.9983495,0.0002921632,0.000253967,0.0003290435,0.000005380841,0.0000131365,0.000001769891,0.0003390203],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005929096,"threshold_uncertainty_score":0.01983476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0664160961612034,"score_gpt":0.4530318000856929,"score_spread":0.3866157039244895,"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."}}