{"id":"W4402314224","doi":"10.3390/curroncol31090389","title":"Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions","year":2024,"lang":"en","type":"review","venue":"Current Oncology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Applications of artificial intelligence; Medicine; Precision medicine; Deep learning; Robotics; Data science; Emerging technologies; Health care; Big data; Computer science; Robot; Pathology","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":[0.001464196,0.0007374465,0.001292038,0.002303104,0.0003536735,0.00186797,0.0008667586,0.001838288,0.003549934],"category_scores_gemma":[0.002288081,0.00026644,0.0007767773,0.002708091,0.000924708,0.002060873,0.0009144896,0.002749636,0.001492389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054984,"about_ca_system_score_gemma":0.002355457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001706046,"about_ca_topic_score_gemma":0.002623674,"domain_scores_codex":[0.9995496,0.0001289048,0.00006309937,0.00005976943,0.0001596952,0.00003886843],"domain_scores_gemma":[0.9981771,0.001324864,0.0001060158,0.00003537978,0.0002892748,0.0000673788],"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":[0.00003820566,0.00005527986,0.0001803038,0.02165063,0.0001119149,0.0001119325,0.0001209764,0.0005069759,0.0004069814,0.01185008,0.02209132,0.9428754],"study_design_scores_gemma":[0.00001746471,0.00008559832,0.0008670357,0.01561505,0.0001458862,0.0008146461,0.0001452986,0.00028066,0.0002350095,0.01297588,0.9687859,0.00003154053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000559114,0.9981269,0.0001549338,0.0007368061,0.0001714417,0.000003668048,0.000007693557,0.000005354801,0.0007373512],"genre_scores_gemma":[0.000484896,0.99854,0.0002100986,0.0003580575,0.0001779309,0.000005846277,0.00001135577,0.000001413814,0.0002103833],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003549934,"threshold_uncertainty_score":0.01187569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4127435089966013,"score_gpt":0.5825760734708585,"score_spread":0.1698325644742572,"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."}}