{"id":"W3095560178","doi":"10.1016/j.media.2021.102306","title":"Surgical data science – from concepts toward clinical translation","year":2021,"lang":"en","type":"preprint","venue":"Medical Image Analysis","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University Health Network; Queen's University","funders":"H2020 European Research Council; National Institute of Biomedical Imaging and Bioengineering; National Institute of Diabetes and Digestive and Kidney Diseases; NIHR Imperial Biomedical Research Centre; Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Science of Learning Institute, Johns Hopkins University; Horizon 2020 Framework Programme; University of Toronto; Ministry of Education, Culture, Sports, Science and Technology; Royal Society; Bundesministerium für Bildung und Forschung; National Institute for Health and Care Research; National Institutes of Health; Agence Nationale de la Recherche; Bundesministerium für Wirtschaft und Energie; Royal Academy of Engineering; Wellcome Trust; Polytechnique Montréal; Deutsche Forschungsgemeinschaft; Deutsches Krebsforschungszentrum; Memorial Sloan-Kettering Cancer Center; Johns Hopkins University; National Cancer Institute; HORIZON EUROPE Framework Programme; U.S. Department of Defense; Wellcome / EPSRC Centre for Interventional and Surgical Sciences; Nationales Centrum für Tumorerkrankungen Heidelberg; Nvidia; Université de Strasbourg; National Institute of Dental and Craniofacial Research; Bundesministerium für Forschung und Technologie","keywords":"Data science; Translational research; Data sharing; Field (mathematics); Translational science; Computer science; Analytics; Medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.08857414,0.001111789,0.001359482,0.009939265,0.002210584,0.01839678,0.003128988,0.005644673,0.007535645],"category_scores_gemma":[0.1176486,0.001006902,0.001225133,0.00765696,0.0293985,0.03019406,0.01469401,0.01271172,0.00293729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007995767,"about_ca_system_score_gemma":0.01754195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0015596,"about_ca_topic_score_gemma":0.000803129,"domain_scores_codex":[0.9267212,0.04807774,0.00587411,0.003179182,0.01497547,0.001172319],"domain_scores_gemma":[0.851299,0.1130764,0.003025732,0.01227633,0.01739394,0.002928546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005841633,0.00004899083,0.0004879832,0.002153405,0.0000387457,0.0001888094,0.005222423,0.0008987843,0.0005997781,0.8062417,0.03183311,0.1522278],"study_design_scores_gemma":[0.00001815563,0.00006098901,0.0004018999,0.004059618,0.00001336267,0.0003377772,0.004601708,0.0008528726,0.0007404517,0.4971251,0.4917443,0.00004382417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.00591242,0.1436649,0.3049358,0.4665714,0.01243626,0.0006492161,0.001256332,0.0006161053,0.0639575],"genre_scores_gemma":[0.1624675,0.2905875,0.3973612,0.1071278,0.02062583,0.002136741,0.002651794,0.001601308,0.01544037],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.08857414,"threshold_uncertainty_score":0.4684305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5100521637426162,"score_gpt":0.6062329828184161,"score_spread":0.0961808190757999,"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."}}