{"id":"W4387030598","doi":"10.48550/arxiv.2309.12325","title":"FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Fogarty International Center; Natural Sciences and Engineering Research Council of Canada; Institute for Information and Communications Technology Promotion; Instituto de Salud Carlos III; Medical Research Council; Centre National de la Recherche Scientifique; Cancer Research UK; KWF Kankerbestrijding; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Natural Science Foundation of China; HORIZON EUROPE Framework Programme; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Agence Nationale de la Recherche; Agencia Nacional de Investigación y Desarrollo; Agency for Science, Technology and Research; National Health and Medical Research Council; Ministério da Ciência, Tecnologia e Inovação; European Regional Development Fund; U.S. Department of Defense; European Commission; National Institutes of Health; Royal Academy of Engineering; National Institute for Health and Care Research; Gordon and Betty Moore Foundation","keywords":"Software deployment; Health care; Applications of artificial intelligence; Best practice; Engineering ethics; Computer science; Knowledge management; Artificial intelligence; Engineering; Political science; Software engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.1877609,0.003622868,0.004604069,0.01571301,0.005026597,0.01414097,0.01815462,0.03014618,0.004696818],"category_scores_gemma":[0.2064409,0.002722994,0.01291553,0.01057595,0.009478543,0.01291763,0.01987956,0.02355426,0.006197391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02162684,"about_ca_system_score_gemma":0.1302503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03037212,"about_ca_topic_score_gemma":0.02350993,"domain_scores_codex":[0.7703643,0.1108888,0.05975963,0.005881613,0.04373692,0.009368686],"domain_scores_gemma":[0.7595379,0.1177413,0.01460673,0.01117805,0.08714513,0.009790908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001954675,0.0003677469,0.00146711,0.03124253,0.0004095153,0.001476099,0.01429777,0.006995009,0.001953444,0.2171663,0.4505608,0.2738682],"study_design_scores_gemma":[0.0001759923,0.0001687884,0.001470146,0.09745129,0.0004491945,0.001060704,0.005126509,0.003020926,0.00122248,0.07918195,0.8104049,0.0002671803],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.003486921,0.08913522,0.2624101,0.4954597,0.01998939,0.01685167,0.004593608,0.002249073,0.1058242],"genre_scores_gemma":[0.04198442,0.07153597,0.6890103,0.1235392,0.002373503,0.0368343,0.01229829,0.001070471,0.02135356],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1877609,"threshold_uncertainty_score":0.9929867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3129418855596125,"score_gpt":0.3572738267650754,"score_spread":0.04433194120546285,"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."}}