{"id":"https://openalex.org/W4391159111","doi":"https://doi.org/10.48550/arxiv.2401.12208","title":"A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation","display_name":"A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation","publication_year":2024,"publication_date":"2024-01-22","ids":{"openalex":"https://openalex.org/W4391159111","doi":"https://doi.org/10.48550/arxiv.2401.12208"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2401.12208","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.12208","pdf_url":"https://arxiv.org/pdf/2401.12208","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2401.12208","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100430127","display_name":"Zhihong Chen","orcid":"https://orcid.org/0000-0002-7056-1335"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chen, Zhihong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012771499","display_name":"Maya Varma","orcid":"https://orcid.org/0000-0003-0693-7753"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Varma, Maya","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016013231","display_name":"Jean-Benoit Delbrouck","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Justin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048218427","display_name":"Magdalini Paschali","orcid":"https://orcid.org/0000-0003-4967-3137"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paschali, Magdalini","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025304724","display_name":"Louis Blankemeier","orcid":"https://orcid.org/0000-0001-6365-9767"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Van Veen, Dave","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079666746","display_name":"Dave Van Veen","orcid":"https://orcid.org/0000-0001-9312-1773"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Johnston, Andrew","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062008578","display_name":"Jeya Maria Jose Valanarasu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Youssef, Alaa","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017527417","display_name":"Alaa Youssef","orcid":"https://orcid.org/0000-0001-6505-8236"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Blankemeier, Louis","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005297246","display_name":"Joseph Cohen","orcid":"https://orcid.org/0000-0002-1334-3059"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bluethgen, Christian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037419111","display_name":"Eduardo Pontes Reis","orcid":"https://orcid.org/0000-0001-5110-457X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Altmayer, Stephan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012316525","display_name":"Emily B. Tsai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Valanarasu, Jeya Maria Jose","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076390842","display_name":"Andrew Johnston","orcid":"https://orcid.org/0000-0001-5352-9563"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muneer, Mohamed Siddig Eltayeb","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093775242","display_name":"Cameron Olsen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reis, Eduardo Pontes","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028004251","display_name":"Tanishq Mathew Abraham","orcid":"https://orcid.org/0000-0002-9590-391X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cohen, Joseph Paul","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080097591","display_name":"Sergios Gatidis","orcid":"https://orcid.org/0000-0002-6928-4967"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Olsen, Cameron","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064829377","display_name":"Akshay Chaudhari","orcid":"https://orcid.org/0000-0002-3667-6796"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abraham, Tanishq Mathew","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087710258","display_name":"Curtis P. Langlotz","orcid":"https://orcid.org/0000-0002-8972-8051"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsai, Emily B.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Beaulieu, Christopher F.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Beaulieu, Christopher F.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Jitsev, Jenia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jitsev, Jenia","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Gatidis, Sergios","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gatidis, Sergios","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Delbrouck, Jean-Benoit","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Delbrouck, Jean-Benoit","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Chaudhari, Akshay S.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chaudhari, Akshay S.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Langlotz, Curtis P.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Langlotz, Curtis P.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":23,"corresponding_author_ids":["https://openalex.org/A5100430127"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":null,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9933000206947327,"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":0.9933000206947327,"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":0.991599977016449,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9855999946594238,"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":0.7833647727966309},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6656385660171509},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5315741300582886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4989283084869385},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.47618404030799866},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.46654272079467773},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4616372287273407},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45804283022880554},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36836087703704834},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.15535244345664978}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7833647727966309},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6656385660171509},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5315741300582886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4989283084869385},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.47618404030799866},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.46654272079467773},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4616372287273407},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45804283022880554},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36836087703704834},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15535244345664978},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2401.12208","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.12208","pdf_url":"https://arxiv.org/pdf/2401.12208","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2401.12208","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2401.12208","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2401.12208","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.12208","pdf_url":"https://arxiv.org/pdf/2401.12208","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391159111.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W2112883198"],"abstract_inverted_index":{"Over":[0],"1.4":[1],"billion":[2],"chest":[3],"X-rays":[4],"(CXRs)":[5],"are":[6,36],"performed":[7],"annually":[8],"due":[9],"to":[10,27,69,178],"their":[11,50],"cost-effectiveness":[12],"as":[13],"an":[14],"initial":[15],"diagnostic":[16],"test.":[17],"This":[18],"scale":[19],"of":[20,42,100,143,154,159,171],"radiological":[21],"studies":[22],"provides":[23],"a":[24,37,62,71,114,169],"significant":[25,128],"opportunity":[26],"streamline":[28],"CXR":[29,172],"interpretation":[30,173],"and":[31,47,53,147,152,175],"documentation.":[32],"While":[33],"foundation":[34,73],"models":[35],"promising":[38],"solution,":[39],"the":[40,97,140],"lack":[41],"publicly":[43],"available":[44],"large-scale":[45,63],"datasets":[46],"benchmarks":[48],"inhibits":[49],"iterative":[51],"development":[52],"real-world":[54,98],"evaluation.":[55],"To":[56],"overcome":[57],"these":[58],"challenges,":[59],"we":[60,67,95,162],"constructed":[61],"dataset":[64],"(CheXinstruct),":[65],"which":[66],"utilized":[68],"train":[70],"vision-language":[72],"model":[74],"(CheXagent).":[75],"We":[76],"systematically":[77],"demonstrated":[78],"competitive":[79],"performance":[80],"across":[81],"eight":[82,111],"distinct":[83],"task":[84],"types":[85],"on":[86],"our":[87],"novel":[88],"evaluation":[89],"benchmark":[90],"(CheXbench).":[91],"Beyond":[92],"technical":[93],"validation,":[94],"assessed":[96],"utility":[99],"CheXagent":[101,165],"in":[102,150,181],"directly":[103],"drafting":[104],"radiology":[105,145],"reports.":[106,135],"Our":[107],"clinical":[108,183],"assessment":[109],"with":[110],"radiologists":[112,125,149,180],"revealed":[113],"36%":[115],"time":[116,129],"saving":[117],"for":[118],"residents":[119,146],"using":[120],"CheXagent-drafted":[121,134,137],"reports,":[122],"while":[123],"attending":[124,148],"showed":[126],"no":[127],"difference":[130],"editing":[131],"resident-drafted":[132],"or":[133],"The":[136],"reports":[138],"improved":[139],"writing":[141],"efficiency":[142],"both":[144],"81%":[151],"61%":[153],"cases,":[155],"respectively,":[156],"without":[157],"loss":[158],"quality.":[160],"Overall,":[161],"demonstrate":[163],"that":[164],"can":[166],"effectively":[167],"perform":[168],"variety":[170],"tasks":[174],"holds":[176],"potential":[177],"assist":[179],"routine":[182],"workflows.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":6}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2024-01-24T00:00:00"}