{"id":"W3092408429","doi":"10.1016/j.nic.2020.08.003","title":"Machine Learning Applications for Head and Neck Imaging","year":2020,"lang":"en","type":"review","venue":"Neuroimaging Clinics of North America","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital; Royal Victoria Hospital; McGill University; Centre Hospitalier de l’Université de Montréal; Polytechnique Montréal; Royal Victoria Regional Health Centre; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Fondation de l'Association des radiologistes du Québec; Fondation de l’Ordre des dentistes du Québec","keywords":"Medicine; Head and neck; Deep learning; Medical physics; Software deployment; Focus (optics); Artificial intelligence; Radiology; Computer science; Surgery; Software engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002605447,0.0005444564,0.002703805,0.0002862049,0.0001946757,0.00005285973,0.0003251318,0.00008082995,0.000009938602],"category_scores_gemma":[0.001632931,0.0004964662,0.0007079553,0.0005762319,0.000384807,0.00007071633,0.0002267866,0.001907027,0.00001553963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003898584,"about_ca_system_score_gemma":0.0003677568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002819503,"about_ca_topic_score_gemma":8.060082e-7,"domain_scores_codex":[0.9968636,0.0001386163,0.001285767,0.0009382648,0.0003193733,0.0004543634],"domain_scores_gemma":[0.9965544,0.001239044,0.00111432,0.0005028318,0.0001517109,0.0004376873],"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":[0.00002200192,0.00007263573,0.008027267,0.01074232,0.0001151674,0.00003450489,0.0000307068,0.00001052818,3.102639e-7,0.00001462552,0.0002381676,0.9806917],"study_design_scores_gemma":[0.0007394118,0.0002309383,0.0002377494,0.00247494,0.001514527,0.0001975702,0.000005565294,0.02113982,3.934177e-8,0.00002081424,0.973105,0.0003336499],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002147635,0.9840735,0.0118094,0.00151391,0.0001669651,0.001760323,0.0001079945,0.0001878788,0.0003585255],"genre_scores_gemma":[0.00007696262,0.981051,0.01575206,0.001518116,0.0004524037,0.0001855182,0.0006459308,0.000204053,0.0001139918],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9803581,"threshold_uncertainty_score":0.9997487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03535763682467698,"score_gpt":0.3790114622391419,"score_spread":0.343653825414465,"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."}}