{"id":"W4411755887","doi":"10.54941/ahfe1006207","title":"Stethoscope to Algorithm: Equipping Tomorrow’s Doctors for Artificial Intelligence Driven Healthcare","year":2025,"lang":"en","type":"article","venue":"AHFE international","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stethoscope; Computer science; Health care; Artificial intelligence; Medicine","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":[0.006180799,0.0004160029,0.0003139359,0.0009843817,0.00374079,0.004817126,0.001669396,0.004511088,0.0143101],"category_scores_gemma":[0.02739732,0.0003482307,0.0005644684,0.0006400278,0.00589206,0.00635253,0.007164284,0.005104807,0.005146279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002725428,"about_ca_system_score_gemma":0.01296629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009961377,"about_ca_topic_score_gemma":0.02564758,"domain_scores_codex":[0.9954441,0.002378205,0.0002017606,0.0003939559,0.001008764,0.000573298],"domain_scores_gemma":[0.9886929,0.004125952,0.0005884645,0.000600569,0.001703113,0.004288973],"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":[0.0002451934,0.0004576698,0.01797922,0.0008579738,0.00003815859,0.001891896,0.04540679,0.001767991,0.004754504,0.09709694,0.3471732,0.4823304],"study_design_scores_gemma":[0.0001013657,0.0003247296,0.004124294,0.0008695752,0.0000285397,0.002136475,0.01652361,0.00417725,0.002592216,0.05010322,0.9189028,0.0001160993],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06413499,0.009470281,0.1850123,0.5720862,0.007502129,0.0006370111,0.000351211,0.002107809,0.1586982],"genre_scores_gemma":[0.4913676,0.01227664,0.3507893,0.0905062,0.002389539,0.0004111134,0.0007105957,0.0005406303,0.05100831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0143101,"threshold_uncertainty_score":0.04787201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07813473254975084,"score_gpt":0.4603010113626261,"score_spread":0.3821662788128752,"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."}}