{"id":"W3083781547","doi":"10.17496/kmer.2020.22.2.99","title":"Current Status and Future Direction of Artificial Intelligence in Healthcare and Medical Education","year":2020,"lang":"en","type":"article","venue":"Korean Medical Education Review","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Health care; Quality (philosophy); Specialty; Empathy; Compassion; Curriculum; Medical education; Knowledge management; Medicine; Computer science; Artificial intelligence; Psychology; Political science; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008171263,0.0001558671,0.0004572419,0.0001280464,0.00005605485,0.00001076073,0.00008487399,0.0001856418,0.0007518682],"category_scores_gemma":[0.005303373,0.0001345816,0.00004829594,0.0006667755,0.0001769224,0.00009529074,0.00003362271,0.0005578706,0.00001571526],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001004854,"about_ca_system_score_gemma":0.007488327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009442972,"about_ca_topic_score_gemma":0.0002220263,"domain_scores_codex":[0.9974638,0.0002087676,0.001027328,0.0003816345,0.0006824881,0.0002359637],"domain_scores_gemma":[0.9978645,0.0001144881,0.000206613,0.0001803729,0.0003265986,0.001307469],"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":[0.00002950015,0.0004313644,0.01645321,0.00656158,0.000004383383,6.986806e-7,0.001108729,1.952609e-8,0.000001995852,0.005487388,0.002634695,0.9672864],"study_design_scores_gemma":[0.0002538213,0.001689112,0.1077365,0.07736219,0.0004486026,0.0003782208,0.01536602,0.004012455,0.000566601,0.01788241,0.7731554,0.001148678],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.09157079,0.4225454,0.0001752366,0.4826422,0.001737337,0.001136339,0.000003326553,0.00003240344,0.0001569767],"genre_scores_gemma":[0.3056826,0.6668055,0.000383043,0.02505964,0.001785998,0.0001186696,0.0001409017,0.00001621269,0.000007468207],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9661378,"threshold_uncertainty_score":0.9981383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09223779141097388,"score_gpt":0.4632125126300916,"score_spread":0.3709747212191177,"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."}}