{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005531562,0.0005409069,0.0009294509,0.002666768,0.0006041051,0.00305906,0.001258949,0.002811189,0.005970717],"category_scores_gemma":[0.00662166,0.0002859211,0.0008153062,0.004094036,0.002148738,0.005233171,0.001347027,0.003296354,0.001167253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002259442,"about_ca_system_score_gemma":0.007250741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003125196,"about_ca_topic_score_gemma":0.004470016,"domain_scores_codex":[0.9983116,0.0006972199,0.0002599761,0.000174366,0.0004071236,0.0001496284],"domain_scores_gemma":[0.9877374,0.008492141,0.0007238963,0.0002517536,0.002173459,0.0006212147],"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":[0.00007483354,0.0001033666,0.001021679,0.01648992,0.00006756902,0.00009781314,0.000290014,0.0003093802,0.0002806126,0.0188376,0.0264794,0.9359478],"study_design_scores_gemma":[0.00004267034,0.0001705572,0.005169086,0.03281802,0.0002526675,0.0007884087,0.001098998,0.0006001293,0.0003139263,0.0230542,0.9356352,0.00005626338],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002256986,0.9896315,0.0003323315,0.007442486,0.0005235407,0.000005131841,0.0000129405,0.00001107944,0.001815265],"genre_scores_gemma":[0.004581577,0.9904082,0.0009637679,0.002853421,0.0007805366,0.00001629097,0.00002676233,0.000004071273,0.0003652583],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005970717,"threshold_uncertainty_score":0.02925408,"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."}}