{"id":"W4212864844","doi":"10.2196/36891","title":"Risks and Benefits of Artificial Intelligence in Teledermatology","year":2022,"lang":"en","type":"article","venue":"Iproceedings","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Teledermatology; Interpretability; Referral; Medicine; Second opinion; Primary care; MEDLINE; Triage; Venereology; Health care; Telemedicine; Medical education; Artificial intelligence; Family medicine; Medical emergency; Computer science; Dermatology; 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":[0.03101935,0.0005886153,0.0008754903,0.002805083,0.0007244263,0.005342019,0.001345675,0.003998603,0.006013546],"category_scores_gemma":[0.09391543,0.0003583336,0.001409954,0.002179959,0.006016197,0.00642553,0.003129662,0.004395396,0.0007707862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002478679,"about_ca_system_score_gemma":0.00253138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108617,"about_ca_topic_score_gemma":0.001030315,"domain_scores_codex":[0.9617644,0.02580934,0.002928676,0.00168731,0.007207177,0.0006031457],"domain_scores_gemma":[0.7744741,0.2027347,0.008500484,0.004330998,0.009002522,0.0009570599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005549258,0.0001188542,0.01277509,0.0186875,0.0006732036,0.000834211,0.001537229,0.0021631,0.0005213199,0.1630247,0.02552311,0.7735869],"study_design_scores_gemma":[0.0001306574,0.0007924049,0.02130193,0.0909981,0.0009023823,0.00621591,0.004187447,0.003336778,0.002373143,0.317684,0.5518608,0.000216445],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006851814,0.8234898,0.008631777,0.1358976,0.002450165,0.00005549318,0.0002766653,0.000043535,0.02230312],"genre_scores_gemma":[0.2530052,0.6814544,0.01131792,0.03836941,0.01247554,0.0004092143,0.000244071,0.00006561699,0.002658653],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03101935,"threshold_uncertainty_score":0.164048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05030625490015445,"score_gpt":0.2907331000132063,"score_spread":0.2404268451130519,"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."}}