{"id":"W3014215822","doi":"10.3389/fmed.2020.00100","title":"Artificial Intelligence Applications in Dermatology: Where Do We Stand?","year":2020,"lang":"en","type":"review","venue":"Frontiers in Medicine","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; McGill University Health Centre","funders":"","keywords":"Dermatopathology; Standardization; Interpretability; Medicine; Profiling (computer programming); Data science; Computer science; Dermatology; Artificial intelligence","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":[0.002884881,0.0007198615,0.001650429,0.002891449,0.000576184,0.003047144,0.001060458,0.002640883,0.003931154],"category_scores_gemma":[0.006148045,0.0003441768,0.001182756,0.003450851,0.001200917,0.00434102,0.0009997978,0.003286761,0.001454714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431585,"about_ca_system_score_gemma":0.00406083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002540069,"about_ca_topic_score_gemma":0.004661803,"domain_scores_codex":[0.998948,0.0003997316,0.0001771048,0.00009667455,0.0003033637,0.00007515054],"domain_scores_gemma":[0.9942091,0.004180909,0.0003477952,0.000103366,0.00100252,0.0001562671],"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":[0.00006767822,0.00005426539,0.0003446062,0.05058572,0.0001725587,0.0001640135,0.0003307298,0.0002329008,0.0003422335,0.009049828,0.03090318,0.9077524],"study_design_scores_gemma":[0.00003009989,0.000122992,0.001941147,0.080068,0.0003784789,0.001335976,0.0007624666,0.0002013836,0.0002278833,0.01231082,0.902573,0.00004776479],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005833222,0.9968392,0.00009441275,0.001992082,0.0003956365,0.000004441646,0.000006139118,0.000004096092,0.0006057576],"genre_scores_gemma":[0.0007492074,0.9973252,0.0002597898,0.001060508,0.0003734135,0.000008462851,0.000008334658,0.000001967793,0.0002131408],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003931154,"threshold_uncertainty_score":0.01525688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04277313389363456,"score_gpt":0.3368618391389022,"score_spread":0.2940887052452676,"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."}}