{"id":"https://openalex.org/W7224100899","doi":"https://doi.org/10.1186/s12911-026-03940-0","title":"Federated learning approach to optimize coronary revascularization decisions with privacy-preserving data integration from multiple hospitals","display_name":"Federated learning approach to optimize coronary revascularization decisions with privacy-preserving data integration from multiple hospitals","publication_year":2026,"publication_date":"2026-10-28","ids":{"openalex":"https://openalex.org/W7224100899","doi":"https://doi.org/10.1186/s12911-026-03940-0"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-026-03940-0","doi":"https://doi.org/10.1186/s12911-026-03940-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-026-03940-0","pdf_url":null,"source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","oarl","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1186/s12911-026-03940-0","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100429087","display_name":"Su Min Kim","orcid":"https://orcid.org/0000-0002-5951-9208","observed_orcids":["https://orcid.org/0000-0002-5951-9208"]},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Su Min Kim","raw_affiliation_strings":["Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160006445","display_name":"Seungmi Oh","orcid":"https://orcid.org/0009-0001-2583-3311","observed_orcids":["https://orcid.org/0009-0001-2583-3311"]},"institutions":[{"id":"https://openalex.org/I4210120052","display_name":"National Cancer Center","ror":"https://ror.org/02tsanh21","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I1290491151","https://openalex.org/I2801339556","https://openalex.org/I4210120052"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungmi Oh","raw_affiliation_strings":["Department of Public Health and Al, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0001-2583-3311","affiliations":[{"raw_affiliation_string":"Department of Public Health and Al, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Republic of Korea","institution_ids":["https://openalex.org/I4210120052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015942085","display_name":"Ju Hyeon Kim","orcid":"https://orcid.org/0000-0002-4193-0891","observed_orcids":["https://orcid.org/0000-0002-4193-0891"]},"institutions":[{"id":"https://openalex.org/I4405260934","display_name":"Korea University Anam Hospital","ror":"https://ror.org/04gjj3027","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I197347611","https://openalex.org/I2799980853","https://openalex.org/I4405260934"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ju Hyeon Kim","raw_affiliation_strings":["Division of Cardiology, Department of Internal Medicine, Korea University Anam Hospital, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Cardiology, Department of Internal Medicine, Korea University Anam Hospital, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4405260934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153620898","display_name":"Soon Jun Hong","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405260934","display_name":"Korea University Anam Hospital","ror":"https://ror.org/04gjj3027","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I197347611","https://openalex.org/I2799980853","https://openalex.org/I4405260934"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soon Jun Hong","raw_affiliation_strings":["Division of Cardiology, Department of Internal Medicine, Korea University Anam Hospital, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Cardiology, Department of Internal Medicine, Korea University Anam Hospital, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4405260934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072051479","display_name":"Yu Cheol Woong","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405260934","display_name":"Korea University Anam Hospital","ror":"https://ror.org/04gjj3027","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I197347611","https://openalex.org/I2799980853","https://openalex.org/I4405260934"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Cheol Woong Yu","raw_affiliation_strings":["Division of Cardiology, Department of Internal Medicine, Korea University Anam Hospital, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Cardiology, Department of Internal Medicine, Korea University Anam Hospital, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4405260934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100780511","display_name":"Yong Hyun Kim","orcid":"https://orcid.org/0000-0001-9973-7632","observed_orcids":["https://orcid.org/0000-0001-9973-7632"]},"institutions":[{"id":"https://openalex.org/I4405261856","display_name":"Korea University Ansan Hospital","ror":"https://ror.org/05yp5js06","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I197347611","https://openalex.org/I2799980853","https://openalex.org/I4405261856"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yong Hyun Kim","raw_affiliation_strings":["Division of Cardiology, Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Cardiology, Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea","institution_ids":["https://openalex.org/I4405261856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160023885","display_name":"Eung Ju Kim","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405258752","display_name":"Korea University Guro Hospital","ror":"https://ror.org/0154bb690","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I197347611","https://openalex.org/I2799980853","https://openalex.org/I4405258752"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eung Ju Kim","raw_affiliation_strings":["Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Cardiology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4405258752"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037704369","display_name":"Hyung Joon Joo","orcid":"https://orcid.org/0000-0003-1846-8464","observed_orcids":["https://orcid.org/0000-0003-1846-8464"]},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]},{"id":"https://openalex.org/I4405260934","display_name":"Korea University Anam Hospital","ror":"https://ror.org/04gjj3027","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I197347611","https://openalex.org/I2799980853","https://openalex.org/I4405260934"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyung Joon Joo","raw_affiliation_strings":["College of Medicine, Korea University Research Institute for Medical Bigdata Science, Korea University, Seoul, Republic of Korea","Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea","Division of Cardiology, Department of Internal Medicine, Korea University Anam Hospital, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-1846-8464","affiliations":[{"raw_affiliation_string":"College of Medicine, Korea University Research Institute for Medical Bigdata Science, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Department of Biomedical Informatics, Korea University College of Medicine, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Division of Cardiology, Department of Internal Medicine, Korea University Anam Hospital, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4405260934"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037704369"],"corresponding_institution_ids":["https://openalex.org/I197347611","https://openalex.org/I4405260934"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.85452106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.7445999979972839,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.7445999979972839,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.1151999980211258,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.03530000150203705,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/federated-learning","display_name":"federated learning","score":0.9559999704360962},{"id":"https://openalex.org/keywords/coronary-revascularization","display_name":"coronary revascularization","score":0.9589999914169312},{"id":"https://openalex.org/keywords/coronary-angiography","display_name":"coronary angiography","score":0.7639999985694885},{"id":"https://openalex.org/keywords/acute-coronary-syndrome","display_name":"acute coronary syndrome","score":0.9570000171661377},{"id":"https://openalex.org/keywords/privacy-preserving-data-integration","display_name":"privacy-preserving data integration","score":0.7950000166893005},{"id":"https://openalex.org/keywords/multi-center-data","display_name":"multi-center data","score":0.5849999785423279},{"id":"https://openalex.org/keywords/cardiac-biomarkers","display_name":"cardiac biomarkers","score":0.7680000066757202},{"id":"https://openalex.org/keywords/troponin","display_name":"troponin","score":0.9980000257492065},{"id":"https://openalex.org/keywords/ck-mb","display_name":"CK-MB","score":0.902999997138977},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"electrocardiogram","score":0.9549999833106995},{"id":"https://openalex.org/keywords/clinical-decision-support","display_name":"clinical decision support","score":0.7960000038146973},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.44999998807907104}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6879000067710876},{"id":"https://openalex.org/C2777698277","wikidata":"https://www.wikidata.org/wiki/Q266018","display_name":"Acute coronary syndrome","level":3,"score":0.5975000262260437},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.5806000232696533},{"id":"https://openalex.org/C2779464278","wikidata":"https://www.wikidata.org/wiki/Q7317735","display_name":"Revascularization","level":3,"score":0.5397999882698059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42419999837875366},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.39250001311302185},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.3804999887943268},{"id":"https://openalex.org/C34585555","wikidata":"https://www.wikidata.org/wiki/Q1368723","display_name":"Learning curve","level":2,"score":0.3698999881744385},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3553999960422516},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3370000123977661},{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.336899995803833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31869998574256897},{"id":"https://openalex.org/C2778979077","wikidata":"https://www.wikidata.org/wiki/Q330190","display_name":"Receipt","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C167135981","wikidata":"https://www.wikidata.org/wiki/Q2146302","display_name":"Retrospective cohort study","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.26010000705718994},{"id":"https://openalex.org/C3018917099","wikidata":"https://www.wikidata.org/wiki/Q7317735","display_name":"Myocardial revascularization","level":3,"score":0.2578999996185303}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/s12911-026-03940-0","doi":"https://doi.org/10.1186/s12911-026-03940-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-026-03940-0","pdf_url":null,"source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","oarl","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1186/s12911-026-03940-0","doi":"https://doi.org/10.1186/s12911-026-03940-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-026-03940-0","pdf_url":null,"source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","oarl","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.9763000011444092,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7123354988","https://openalex.org/W4409842711","https://openalex.org/W4409623110","https://openalex.org/W7223385838","https://openalex.org/W4224104881","https://openalex.org/W7167910421","https://openalex.org/W7213258802","https://openalex.org/W7163395240","https://openalex.org/W7223854442","https://openalex.org/W4297145449"],"abstract_inverted_index":{"Abstract":[0],"Background":[1],"Coronary":[2],"revascularization":[3,34,218,285],"has":[4],"a":[5,24,63],"crucial":[6],"role":[7],"in":[8,72],"the":[9,30,163,166,171,174,189,226,234,249],"treatment":[10],"of":[11,32,241,246,283,314],"acute":[12],"coronary":[13,33,198,269,284,309],"syndrome":[14],"and":[15,48,53,81,93,96,118,129,137,179,188,212,229,243,260,290],"significantly":[16],"affects":[17],"patient":[18],"mortality.":[19],"We":[20,61,131],"aimed":[21],"to":[22,28,115,122,151,223,267,317],"develop":[23],"federated":[25,138,227,250],"learning":[26,139,228,231,236,251,273],"model":[27,127,190,252],"predict":[29],"receipt":[31,282],"within":[35],"1":[36],"week":[37],"after":[38],"an":[39,239,244],"emergency":[40,276],"room":[41,277],"visit":[42],"among":[43,286],"patients":[44,88,287,315],"who":[45,89,99],"obtained":[46],"ECG":[47,289],"cardiac":[49,291],"biomarker":[50,292],"testing":[51],"(troponin":[52],"CK-MB),":[54],"while":[55,294,311],"preserving":[56],"privacy":[57],"using":[58,66,134,162,185,274],"multicenter":[59],"data.":[60],"conducted":[62],"retrospective":[64],"analysis":[65],"de-identified":[67],"data":[68,108,297],"from":[69,206,210,215,221],"three":[70],"hospitals":[71],"South":[73],"Korea":[74],"(Korea":[75],"University":[76],"Anam":[77],"Hospital,":[78,80],"Ansan":[79],"Guro":[82],"Hospital).":[83],"Methods":[84],"This":[85,201,299],"study":[86,202],"included":[87,203],"underwent":[90],"electrocardiography,":[91],"troponin,":[92],"CK-MB":[94],"tests,":[95],"excluded":[97],"those":[98],"were":[100,109,192],"discharged,":[101],"deceased,":[102],"transferred,":[103],"or":[104],"had":[105],"trauma.":[106],"The":[107],"divided":[110],"into":[111],"training":[112],"(January":[113],"2017":[114],"July":[116,123],"2020)":[117],"test":[119],"(August":[120],"2020":[121],"2021)":[124],"sets":[125],"for":[126,280],"development":[128],"evaluation.":[130],"developed":[132],"models":[133,232],"local,":[135],"centralized,":[136],"approaches.":[140],"To":[141],"enhance":[142],"privacy,":[143],"we":[144],"added":[145,258],"Gaussian":[146],"noise":[147,259],"(SD":[148],"=":[149],"0.01)":[150],"each":[152],"site\u2019s":[153],"parameters":[154],"before":[155],"server":[156],"aggregation.":[157],"Model":[158],"performance":[159,255],"was":[160,183],"assessed":[161],"area":[164,172],"under":[165,173],"receiver":[167],"operating":[168],"characteristic":[169],"curve,":[170,176],"precision-recall":[175],"precision,":[177],"recall,":[178],"accuracy.":[180],"Clinical":[181],"usefulness":[182],"evaluated":[184],"Cohen\u2019s":[186],"kappa,":[187],"predictions":[191],"compared":[193],"with":[194,217,257,264],"physicians\u2019":[195,265],"decisions":[196,266],"regarding":[197],"angiography.":[199,270],"Results":[200],"26,906":[204],"cases":[205,209,214],"Anam,":[207],"27,194":[208],"Ansan,":[211],"21,397":[213],"Guro,":[216],"rates":[219],"ranging":[220],"2.6%":[222],"3.4%.":[224],"Both":[225],"centralized":[230],"outperformed":[233],"local":[235],"model,":[237],"achieving":[238],"AUROC":[240],"0.95":[242],"AUPRC":[245],"0.64.":[247],"Furthermore,":[248],"demonstrated":[253],"robust":[254],"even":[256],"showed":[261],"moderate-to-substantial":[262],"agreement":[263],"perform":[268],"Conclusions":[271],"Federated":[272],"multi-center":[275],"improved":[278],"discrimination":[279],"predicting":[281],"undergoing":[288],"testing,":[293],"avoiding":[295],"direct":[296],"sharing.":[298],"approach":[300],"may":[301],"enable":[302],"scalable":[303],"decision":[304],"support":[305],"that":[306],"reduces":[307],"unnecessary":[308],"angiography":[310],"maintaining":[312],"identification":[313],"likely":[316],"require":[318],"intervention.":[319]},"counts_by_year":[],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2026-10-29T00:00:00"}
