{"id":"https://openalex.org/W7124431832","doi":"https://doi.org/10.1016/j.media.2026.103951","title":"AEM: An interpretable multi-task multi-modal framework for cardiac disease prediction","display_name":"AEM: An interpretable multi-task multi-modal framework for cardiac disease prediction","publication_year":2026,"publication_date":"2026-01-17","ids":{"openalex":"https://openalex.org/W7124431832","doi":"https://doi.org/10.1016/j.media.2026.103951","pmid":"https://pubmed.ncbi.nlm.nih.gov/41564635"},"language":"en","primary_location":{"id":"doi:10.1016/j.media.2026.103951","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.media.2026.103951","pdf_url":null,"source":{"id":"https://openalex.org/S116571295","display_name":"Medical Image Analysis","issn_l":"1361-8415","issn":["1361-8415","1361-8423","1361-8431"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Image Analysis","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.media.2026.103951","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047795765","display_name":"Jiachuan Peng","orcid":"https://orcid.org/0000-0002-2209-0348"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jiachuan Peng","raw_affiliation_strings":["Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, UK. Electronic address: jiachuan.peng@seh.ox.ac.uk"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, UK. Electronic address: jiachuan.peng@seh.ox.ac.uk","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084723622","display_name":"Marcel Beetz","orcid":"https://orcid.org/0009-0004-5239-9313"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Marcel Beetz","raw_affiliation_strings":["Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, UK"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063446245","display_name":"Abhirup Banerjee","orcid":"https://orcid.org/0000-0001-8198-5128"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Abhirup Banerjee","raw_affiliation_strings":["Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, UK; bDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, UK; bDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DU, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123247143","display_name":"Min Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Min Chen","raw_affiliation_strings":["Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, UK"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023353591","display_name":"Vicente Grau","orcid":"https://orcid.org/0000-0001-8139-3480"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vicente Grau","raw_affiliation_strings":["Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, UK"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, UK","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047795765"],"corresponding_institution_ids":["https://openalex.org/I40120149"],"apc_list":{"value":3970,"currency":"USD","value_usd":3970},"apc_paid":{"value":3970,"currency":"USD","value_usd":3970},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11611887,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"109","issue":null,"first_page":"103951","last_page":"103951"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.6873000264167786,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.6873000264167786,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.14429999887943268,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.018300000578165054,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9124000072479248},{"id":"https://openalex.org/keywords/concordance","display_name":"Concordance","score":0.5817000269889832},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.3869999945163727},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.36809998750686646},{"id":"https://openalex.org/keywords/multidisciplinary-approach","display_name":"Multidisciplinary approach","score":0.3643999993801117},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.35830000042915344},{"id":"https://openalex.org/keywords/heart-failure","display_name":"Heart failure","score":0.351500004529953}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9124000072479248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6039999723434448},{"id":"https://openalex.org/C160798450","wikidata":"https://www.wikidata.org/wiki/Q4230870","display_name":"Concordance","level":2,"score":0.5817000269889832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.499099999666214},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41780000925064087},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.3869999945163727},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.36809998750686646},{"id":"https://openalex.org/C22467394","wikidata":"https://www.wikidata.org/wiki/Q849359","display_name":"Multidisciplinary approach","level":2,"score":0.3643999993801117},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.35830000042915344},{"id":"https://openalex.org/C2778198053","wikidata":"https://www.wikidata.org/wiki/Q181754","display_name":"Heart failure","level":2,"score":0.351500004529953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3488999903202057},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3422999978065491},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3264999985694885},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C2780074459","wikidata":"https://www.wikidata.org/wiki/Q389735","display_name":"Heart disease","level":2,"score":0.31779998540878296},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C2775935837","wikidata":"https://www.wikidata.org/wiki/Q202837","display_name":"Sudden cardiac death","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.2605000138282776}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1016/j.media.2026.103951","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.media.2026.103951","pdf_url":null,"source":{"id":"https://openalex.org/S116571295","display_name":"Medical Image Analysis","issn_l":"1361-8415","issn":["1361-8415","1361-8423","1361-8431"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Image Analysis","raw_type":"journal-article"},{"id":"pmid:41564635","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41564635","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical image analysis","raw_type":null}],"best_oa_location":{"id":"doi:10.1016/j.media.2026.103951","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.media.2026.103951","pdf_url":null,"source":{"id":"https://openalex.org/S116571295","display_name":"Medical Image Analysis","issn_l":"1361-8415","issn":["1361-8415","1361-8423","1361-8431"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Image Analysis","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7413614988327026}],"awards":[{"id":"https://openalex.org/G2713849159","display_name":null,"funder_award_id":"URF\\\\R1\\\\221314","funder_id":"https://openalex.org/F4320320006","funder_display_name":"Royal Society"},{"id":"https://openalex.org/G8020985458","display_name":null,"funder_award_id":"823712","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"},{"id":"https://openalex.org/F4320320038","display_name":"Novo Nordisk UK Research Foundation","ror":"https://ror.org/027754r66"},{"id":"https://openalex.org/F4320329143","display_name":"Stiftung der Deutschen Wirtschaft","ror":"https://ror.org/00xwjya15"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1901066846","https://openalex.org/W2024305570","https://openalex.org/W2031034134","https://openalex.org/W2059342865","https://openalex.org/W2084139018","https://openalex.org/W2087766055","https://openalex.org/W2121535648","https://openalex.org/W2152764683","https://openalex.org/W2167646683","https://openalex.org/W2258978862","https://openalex.org/W2586919761","https://openalex.org/W2753919178","https://openalex.org/W2764145252","https://openalex.org/W2888193668","https://openalex.org/W2894845372","https://openalex.org/W2904746676","https://openalex.org/W3012665221","https://openalex.org/W3013428493","https://openalex.org/W3038579985","https://openalex.org/W3053209875","https://openalex.org/W3082127558","https://openalex.org/W3084949122","https://openalex.org/W3147894994","https://openalex.org/W3153574682","https://openalex.org/W3206143748","https://openalex.org/W3207960649","https://openalex.org/W3215821636","https://openalex.org/W4224942324","https://openalex.org/W4285740439","https://openalex.org/W4299959846","https://openalex.org/W4367318518","https://openalex.org/W4379141755","https://openalex.org/W4386986709","https://openalex.org/W4391936221","https://openalex.org/W4406069341"],"related_works":[],"abstract_inverted_index":{"Cardiovascular":[0],"disease":[1,235],"(CVD)":[2],"is":[3,23,134],"one":[4],"of":[5,9,19,29,47,66,205,215,233],"the":[6,14,27,38,125,129,142,151,174,179,200,224,231,234],"leading":[7],"causes":[8],"death":[10],"and":[11,33,58,70,116,136,189,211,247],"illness":[12],"across":[13],"world.":[15],"Especially,":[16],"early":[17],"prediction":[18,210,219,236],"heart":[20,127],"failure":[21],"(HF)":[22],"complicated":[24],"due":[25],"to":[26,87,111],"heterogeneity":[28],"its":[30],"clinical":[31,253],"presentations":[32],"symptoms.":[34],"These":[35],"challenges":[36],"underscore":[37],"need":[39],"for":[40,44,62,207,217],"a":[41,79,94,100,105,212,249],"multidisciplinary":[42],"approach":[43],"comprehensive":[45],"evaluation":[46],"cardiac":[48,60,67,106,113,167],"state.":[49],"To":[50],"this":[51],"end,":[52],"we":[53,77,229],"specifically":[54],"select":[55],"electrocardiogram":[56],"(ECG)":[57],"3D":[59,132,139],"anatomy":[61,133,188],"their":[63,89],"complementary":[64],"coverage":[65],"electrical":[68,163],"activities":[69],"fine-grained":[71],"structural":[72,117],"modeling.":[73],"Building":[74],"upon":[75],"this,":[76],"present":[78],"novel":[80],"pre-training":[81],"framework,":[82],"named":[83],"Anatomy-Electrocardiogram":[84],"Model":[85],"(AEM),":[86],"explore":[88],"complex":[90],"interactions.":[91],"AEM":[92,195],"adopts":[93],"multi-task":[95],"self-supervised":[96],"scheme":[97],"that":[98,122,239],"combines":[99],"masked":[101],"reconstruction":[102],"objective":[103],"with":[104,157,252],"measurement":[107],"(CM)":[108],"regression":[109],"branch":[110],"embed":[112],"functional":[114,160],"priors":[115],"details.":[118],"Unlike":[119],"image-domain":[120],"models":[121],"typically":[123],"localize":[124],"whole":[126],"within":[128],"image,":[130],"our":[131,240],"background-free":[135],"continuous":[137],"in":[138],"space.":[140],"Hence,":[141],"model":[143,241],"can":[144],"naturally":[145],"concentrate":[146],"on":[147,173],"finer":[148],"structures":[149],"at":[150],"patch":[152],"level.":[153],"The":[154],"further":[155],"integration":[156],"ECG":[158,191],"captures":[159],"dynamics":[161],"through":[162],"conduction,":[164],"encapsulating":[165],"holistic":[166],"representations.":[168],"Extensive":[169],"experiments":[170],"are":[171],"conducted":[172],"multi-modal":[175,226],"datasets":[176],"collected":[177],"from":[178],"UK":[180],"Biobank,":[181],"which":[182],"contain":[183],"paired":[184],"biventricular":[185],"point":[186],"cloud":[187],"12-lead":[190],"data.":[192],"Our":[193],"proposed":[194],"achieves":[196],"an":[197],"area":[198],"under":[199,220],"receiver":[201],"operating":[202],"characteristic":[203],"curve":[204],"0.8192":[206],"incident":[208],"HF":[209],"concordance":[213],"index":[214],"0.6976":[216],"survival":[218],"linear":[221],"evaluation,":[222],"outperforming":[223],"state-of-the-art":[225],"methods.":[227],"Additionally,":[228],"study":[230],"interpretability":[232],"by":[237],"observing":[238],"effectively":[242],"recognizes":[243],"clinically":[244],"plausible":[245],"patterns":[246],"exhibits":[248],"high":[250],"association":[251],"features.":[254]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-17T00:00:00"}