{"id":"https://openalex.org/W4405491264","doi":"https://doi.org/10.1109/embc53108.2024.10781551","title":"Advancing Chest X-ray Diagnostics via Multi-Modal Neural Networks with Attention","display_name":"Advancing Chest X-ray Diagnostics via Multi-Modal Neural Networks with Attention","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4405491264","doi":"https://doi.org/10.1109/embc53108.2024.10781551","pmid":"https://pubmed.ncbi.nlm.nih.gov/40040114"},"language":"en","primary_location":{"id":"doi:10.1109/embc53108.2024.10781551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10781551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5115513937","display_name":"Douglas Townsell","orcid":null},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Douglas Townsell","raw_affiliation_strings":["Wright State University,Department of Computer Science and Engineering,Dayton,OH,USA"],"affiliations":[{"raw_affiliation_string":"Wright State University,Department of Computer Science and Engineering,Dayton,OH,USA","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084532918","display_name":"Tanvi Banerjee","orcid":"https://orcid.org/0000-0002-9794-3755"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tanvi Banerjee","raw_affiliation_strings":["Wright State University,Department of Computer Science and Engineering,Dayton,OH,USA"],"affiliations":[{"raw_affiliation_string":"Wright State University,Department of Computer Science and Engineering,Dayton,OH,USA","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023339560","display_name":"Lingwei Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lingwei Chen","raw_affiliation_strings":["Wright State University,Department of Computer Science and Engineering,Dayton,OH,USA"],"affiliations":[{"raw_affiliation_string":"Wright State University,Department of Computer Science and Engineering,Dayton,OH,USA","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086999377","display_name":"Michael G. Raymer","orcid":"https://orcid.org/0000-0002-1661-7182"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Raymer","raw_affiliation_strings":["Wright State University,Department of Computer Science and Engineering,Dayton,OH,USA"],"affiliations":[{"raw_affiliation_string":"Wright State University,Department of Computer Science and Engineering,Dayton,OH,USA","institution_ids":["https://openalex.org/I19648265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115513937"],"corresponding_institution_ids":["https://openalex.org/I19648265"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40806032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2024","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11894","display_name":"Radiology practices and education","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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":0.6101495027542114},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5547124147415161},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5472327470779419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35608425736427307},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.14930519461631775}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6101495027542114},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5547124147415161},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5472327470779419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35608425736427307},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.14930519461631775},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D013902","descriptor_name":"Radiography, Thoracic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc53108.2024.10781551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10781551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:40040114","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40040114","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2611650229","https://openalex.org/W2897806204","https://openalex.org/W3089168916","https://openalex.org/W3101156210","https://openalex.org/W3172335971","https://openalex.org/W3185135451","https://openalex.org/W4280637152","https://openalex.org/W4281757863","https://openalex.org/W4295608163","https://openalex.org/W4310419219","https://openalex.org/W4312957757","https://openalex.org/W4320913969","https://openalex.org/W4386597053","https://openalex.org/W4390619731","https://openalex.org/W4402965787","https://openalex.org/W6745119210","https://openalex.org/W6838900495"],"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":{"The":[0,87],"healthcare":[1],"field":[2,34],"is":[3,72,92],"undergoing":[4],"a":[5,33,50,106],"profound":[6],"shift,":[7],"with":[8,56],"deep":[9],"learning":[10],"in":[11,17,43,109,112,123,129],"AI":[12],"increasingly":[13],"augmenting":[14],"medical":[15,113],"expertise":[16],"complex":[18],"and":[19,40,58,83,104],"challenging":[20,26],"tasks.":[21],"Our":[22,47],"research":[23],"addresses":[24],"the":[25,73,125],"task":[27],"of":[28,69,75,89,99,127],"chest":[29],"X-ray":[30],"image":[31,52,59],"diagnostics,":[32],"characterized":[35],"by":[36,94],"multifaceted":[37],"diagnostic":[38,64],"labels":[39],"class":[41],"im-balances":[42],"respiratory":[44,130],"disease":[45],"cases.":[46],"approach":[48],"synergizes":[49],"pre-trained":[51],"classification":[53],"neural":[54],"network":[55],"patient":[57],"metadata":[60],"integration,":[61],"significantly":[62],"boosting":[63],"precision.":[65],"A":[66],"key":[67],"aspect":[68],"our":[70,90],"methodology":[71],"identification":[74],"an":[76,95],"effective":[77],"decision":[78],"boundary":[79],"to":[80,118],"enhance":[81],"accuracy":[82],"reduce":[84],"false":[85],"positives.":[86],"effectiveness":[88],"model":[91],"demonstrated":[93],"average":[96],"AUC":[97],"score":[98],"0.84,":[100],"surpassing":[101],"existing":[102],"models":[103],"signifying":[105],"notable":[107],"leap":[108],"AI's":[110],"role":[111],"diagnostics.":[114],"This":[115],"tool":[116],"stands":[117],"aid":[119],"clinical":[120],"decision-making,":[121],"particularly":[122],"navigating":[124],"complexities":[126],"comorbidities":[128],"health.":[131]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
