{"id":"W3006523342","doi":"10.1089/tmj.2019.0158","title":"Telemedicine Practice: Review of the Current Ethical and Legal Challenges","year":2020,"lang":"en","type":"article","venue":"Telemedicine Journal and e-Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":467,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Informed consent; Confidentiality; Malpractice; Medicine; Health care; Legislation; Internet privacy; Engineering ethics; Political science; Alternative medicine; Law; Computer science; Engineering; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01162748,0.000678374,0.001469267,0.009040412,0.001398499,0.004047541,0.001745367,0.003801886,0.003599833],"category_scores_gemma":[0.03388199,0.0006128112,0.001290094,0.01078031,0.003114665,0.005533168,0.001739136,0.00213354,0.0004970573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004547873,"about_ca_system_score_gemma":0.01316419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002796679,"about_ca_topic_score_gemma":0.005741584,"domain_scores_codex":[0.9919062,0.003183052,0.002007036,0.0005037117,0.00209314,0.0003068121],"domain_scores_gemma":[0.9423355,0.04714487,0.004816059,0.0005761559,0.004527575,0.0005997839],"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":[0.0000734686,0.00008850527,0.001217643,0.2306463,0.000233318,0.000792779,0.00437499,0.0003252806,0.0002645151,0.02094414,0.03310892,0.7079301],"study_design_scores_gemma":[0.00003015509,0.0001143931,0.004464434,0.4921386,0.0005578821,0.00368384,0.008425248,0.0002313036,0.0002228274,0.008725222,0.4813479,0.00005828637],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004701614,0.9939574,0.0001502833,0.003843061,0.0003725694,0.00001671296,0.00001361732,0.000002666843,0.001173594],"genre_scores_gemma":[0.006672782,0.9912208,0.0003365642,0.00120719,0.000396778,0.0000314671,0.00002056684,0.000002062202,0.0001119022],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01162748,"threshold_uncertainty_score":0.06149274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.294272464137711,"score_gpt":0.5116432542960507,"score_spread":0.2173707901583397,"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."}}