{"id":"https://openalex.org/W4410296009","doi":"https://doi.org/10.1109/isbi60581.2025.10980774","title":"Multi-VentNet: Multimodal Fusion Framework for Predicting Need for Mechanical Ventilation","display_name":"Multi-VentNet: Multimodal Fusion Framework for Predicting Need for Mechanical Ventilation","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4410296009","doi":"https://doi.org/10.1109/isbi60581.2025.10980774"},"language":"en","primary_location":{"id":"doi:10.1109/isbi60581.2025.10980774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026458121","display_name":"Ye Sel Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ye Sel Lee","raw_affiliation_strings":["University of California,Department of Electrical and Computer Engineering,San Diego, La Jolla,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,Department of Electrical and Computer Engineering,San Diego, La Jolla,USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048386675","display_name":"Xiaolei Lu","orcid":"https://orcid.org/0000-0002-0953-9219"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaolei Lu","raw_affiliation_strings":["University of California,Department of Biomedical Informatics,San Diego, La Jolla,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,Department of Biomedical Informatics,San Diego, La Jolla,USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058054350","display_name":"Michael Miller","orcid":"https://orcid.org/0000-0003-0781-7868"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Miller","raw_affiliation_strings":["University of California San Diego Health,Division of Pulmonary and Critical Care,La Jolla,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California San Diego Health,Division of Pulmonary and Critical Care,La Jolla,USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016311001","display_name":"Jonathan Y. Lam","orcid":"https://orcid.org/0000-0001-9579-0604"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Y. Lam","raw_affiliation_strings":["University of California,Department of Biomedical Informatics,San Diego, La Jolla,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,Department of Biomedical Informatics,San Diego, La Jolla,USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038411618","display_name":"Supreeth P. Shashikumar","orcid":"https://orcid.org/0000-0002-0348-4261"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Supreeth Shashikumar","raw_affiliation_strings":["University of California,Department of Biomedical Informatics,San Diego, La Jolla,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,Department of Biomedical Informatics,San Diego, La Jolla,USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006192037","display_name":"Shamim Nemati","orcid":"https://orcid.org/0000-0002-0520-4948"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shamim Nemati","raw_affiliation_strings":["University of California,Department of Biomedical Informatics,San Diego, La Jolla,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California,Department of Biomedical Informatics,San Diego, La Jolla,USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07157737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.8600999712944031,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.8600999712944031,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10322","display_name":"Respiratory Support and Mechanisms","score":0.7605000138282776,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/computer-science","display_name":"Computer science","score":0.6483758687973022},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4839789867401123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3563379645347595}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6483758687973022},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4839789867401123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3563379645347595},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi60581.2025.10980774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G2885666945","display_name":null,"funder_award_id":"R42AI177108","funder_id":"https://openalex.org/F4320337355","funder_display_name":"National Institute of Allergy and Infectious Diseases"},{"id":"https://openalex.org/G3340853703","display_name":null,"funder_award_id":"R01HL157985","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"}],"funders":[{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"},{"id":"https://openalex.org/F4320337355","display_name":"National Institute of Allergy and Infectious Diseases","ror":"https://ror.org/043z4tv69"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1979050701","https://openalex.org/W2012451988","https://openalex.org/W2114360396","https://openalex.org/W2286228001","https://openalex.org/W2905810301","https://openalex.org/W2962838801","https://openalex.org/W2995225687","https://openalex.org/W3111042139","https://openalex.org/W3193308770","https://openalex.org/W3196930108","https://openalex.org/W4220778715","https://openalex.org/W4285794963","https://openalex.org/W4313439128","https://openalex.org/W4379878309","https://openalex.org/W4387949862","https://openalex.org/W4405270430","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Invasive":[0],"Mechanical":[1],"Ventilation":[2],"(MV)":[3],"is":[4,28],"a":[5,119,143,149],"common":[6],"and":[7,68,100,109,112,148,166,182,188],"critical":[8],"intervention":[9],"for":[10,76,94,185],"patients":[11,23],"with":[12],"respiratory":[13],"failure":[14],"in":[15,41,82,161,164,168,179],"intensive":[16],"care":[17],"units":[18],"(ICUs).":[19],"Early":[20],"identification":[21],"of":[22,87,141,146,154,175,191],"who":[24],"will":[25],"require":[26],"MV":[27,77,192],"crucial":[29],"to":[30,72,79,106],"improve":[31],"patient":[32],"outcomes.":[33],"Prior":[34],"studies":[35],"using":[36],"single-modality":[37,157],"models":[38,158],"face":[39],"challenges":[40],"fully":[42],"capturing":[43],"complex":[44],"interrelationships":[45],"between":[46],"clinical":[47],"data":[48,184],"sources.":[49],"To":[50],"address":[51],"these":[52],"challenges,":[53],"we":[54],"propose":[55],"Multi-VentNet,":[56],"an":[57,135],"integrative":[58],"multimodal":[59,177],"fusion":[60],"approach":[61,85],"that":[62,117,132],"combines":[63],"Electronic":[64],"Health":[65],"Records":[66],"(EHR)":[67],"Chest":[69],"X-rays":[70],"(CXR)":[71],"predict":[73],"the":[74,138,173],"need":[75],"up":[78],"24":[80],"hours":[81],"advance.":[83],"Our":[84],"consists":[86],"three":[88],"key":[89],"components:":[90],"(1)":[91],"Single-Modality":[92],"Encoders":[93],"extracting":[95],"modality-specific":[96],"features":[97],"from":[98,126],"EHR":[99,181],"CXR":[101,183],"data,":[102],"(2)":[103],"Cross-Modality":[104],"Encoder":[105],"capture":[107],"inter-":[108],"intra-modality":[110],"relationships,":[111],"(3)":[113],"Risk":[114],"Integration":[115],"Module":[116],"generates":[118],"final":[120],"risk":[121],"score":[122],"by":[123,159],"combining":[124,180],"predictions":[125,190],"each":[127],"modality.":[128],"Experimental":[129],"results":[130,171],"demonstrate":[131],"Multi-VentNet":[133],"achieved":[134],"area":[136],"under":[137],"curve":[139],"(AUC)":[140],"0.8362,":[142],"specificity":[144],"(SPC)":[145],"79.63%,":[147],"positive":[150],"predictive":[151],"value":[152],"(PPV)":[153],"26.41%,":[155],"outperforming":[156],"0.0478":[160],"AUC,":[162],"2.01%":[163],"SPC,":[165],"1.51%":[167],"PPV.":[169],"These":[170],"highlight":[172],"effectiveness":[174],"our":[176],"framework":[178],"more":[186],"accurate":[187],"timely":[189],"needs.":[193]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}