{"id":"W4220680585","doi":"10.3390/cancers14051349","title":"Advancements in Oncology with Artificial Intelligence—A Review Article","year":2022,"lang":"en","type":"review","venue":"Cancers","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Medicine; Medical physics; Standardization; Breast cancer; Grading (engineering); Generalizability theory; Precision medicine; Personalized medicine; Colorectal cancer; Neuroimaging; Cancer; Oncology; Artificial intelligence; Internal medicine; Pathology; Bioinformatics; Computer science; 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":[0.0006669435,0.0007545139,0.001012637,0.00282092,0.000309649,0.001357575,0.0006893527,0.001177677,0.003934607],"category_scores_gemma":[0.001291076,0.0002464903,0.0005841517,0.003293257,0.0006023412,0.001742562,0.0007345616,0.002059864,0.001996442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006860223,"about_ca_system_score_gemma":0.0014436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009937524,"about_ca_topic_score_gemma":0.001363253,"domain_scores_codex":[0.9996942,0.0000637683,0.00004871822,0.00004802805,0.0001219857,0.0000232531],"domain_scores_gemma":[0.999099,0.0005817025,0.00007801742,0.00002178655,0.0001705398,0.00004893048],"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":[0.00003089718,0.00005676113,0.0002162649,0.01786991,0.00008241048,0.000164188,0.00008896653,0.0003209297,0.0005421402,0.005427348,0.03753323,0.937667],"study_design_scores_gemma":[0.000007298108,0.0000521214,0.0006543034,0.005796088,0.00008702801,0.001144563,0.00006299886,0.000120013,0.0001931727,0.003146211,0.9887172,0.00001903942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006682552,0.9976937,0.0001743959,0.0005564152,0.0003129104,0.000004563835,0.00001193688,0.000008109546,0.001171067],"genre_scores_gemma":[0.0004723696,0.9982858,0.0002467713,0.0002844068,0.0003667752,0.000005922032,0.00001846519,0.000001914942,0.0003175018],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003934607,"threshold_uncertainty_score":0.01316261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0806369913517267,"score_gpt":0.4364614543406138,"score_spread":0.3558244629888871,"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."}}