{"id":"https://openalex.org/W7154719127","doi":"https://doi.org/10.48550/arxiv.2604.15231","title":"RadAgent: A tool-using AI agent for stepwise interpretation of chest computed tomography","display_name":"RadAgent: A tool-using AI agent for stepwise interpretation of chest computed tomography","publication_year":2026,"publication_date":"2026-04-16","ids":{"openalex":"https://openalex.org/W7154719127","doi":"https://doi.org/10.48550/arxiv.2604.15231"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.15231","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.15231","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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.15231","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043673097","display_name":"M\u00e9lanie Roschewitz","orcid":"https://orcid.org/0000-0002-6739-1638"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Roschewitz, M\u00e9lanie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075965650","display_name":"Kenneth Styppa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Styppa, Kenneth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088317619","display_name":"Yitian Tao","orcid":"https://orcid.org/0000-0002-1973-5360"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao, Yitian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133831149","display_name":"Jiwoong Sohn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sohn, Jiwoong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133903686","display_name":"Jean-Benoit Delbrouck","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Delbrouck, Jean-Benoit","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133830276","display_name":"Benjamin Gundersen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gundersen, Benjamin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133892411","display_name":"Nicolas Deperrois","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deperrois, Nicolas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133845566","display_name":"Christian Bluethgen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bluethgen, Christian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133873394","display_name":"Julia E. Vogt","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vogt, Julia E.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133858311","display_name":"Bjoern Menze","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Menze, Bjoern","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133842615","display_name":"Farhad Nooralahzadeh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nooralahzadeh, Farhad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133831535","display_name":"Michael Krauthammer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Krauthammer, Michael","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133900927","display_name":"Michael Moor","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moor, Michael","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":13,"corresponding_author_ids":["https://openalex.org/A5043673097"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.3741999864578247,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.3741999864578247,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.24770000576972961,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.09950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.6862999796867371},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6057999730110168},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5715000033378601},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.48089998960494995},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.44780001044273376},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.41679999232292175}],"concepts":[{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.6862999796867371},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6057999730110168},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5715000033378601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5347999930381775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5235999822616577},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.48089998960494995},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.45820000767707825},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.44780001044273376},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.41679999232292175},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.39809998869895935},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.3734999895095825},{"id":"https://openalex.org/C2775945657","wikidata":"https://www.wikidata.org/wiki/Q381442","display_name":"Structuring","level":2,"score":0.3352000117301941},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3221000134944916},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29649999737739563},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.29510000348091125},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.2842999994754791},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.15231","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.15231","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":"doi:10.48550/arxiv.2604.15231","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.15231","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.45558232069015503,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Vision-language":[0],"models":[1],"(VLM)":[2],"have":[3],"markedly":[4],"advanced":[5],"AI-driven":[6],"interpretation":[7,156],"and":[8,60,76,120,164,174],"reporting":[9],"of":[10,28,73,157],"complex":[11],"medical":[12],"imaging,":[13],"such":[14],"as":[15,160],"computed":[16],"tomography":[17],"(CT).":[18],"Yet,":[19],"existing":[20],"methods":[21],"largely":[22],"relegate":[23],"clinicians":[24,80],"to":[25,38,81],"passive":[26],"observers":[27],"final":[29],"outputs,":[30],"offering":[31],"no":[32],"interpretable":[33,61],"reasoning":[34,166],"trace":[35,72],"for":[36,177],"them":[37],"inspect,":[39],"validate,":[40],"or":[41],"refine.":[42],"To":[43],"address":[44],"this,":[45],"we":[46,92],"introduce":[47],"RadAgent,":[48],"a":[49,58,69,143],"tool-using":[50],"AI":[51,176],"agent":[52],"that":[53,94],"generates":[54],"CT":[55,98,159],"reports":[56],"through":[57],"stepwise":[59],"process.":[62],"Each":[63],"resulting":[64],"report":[65,99],"is":[66],"accompanied":[67],"by":[68,113,132],"fully":[70],"inspectable":[71],"intermediate":[74],"decisions":[75],"tool":[77],"interactions,":[78],"allowing":[79],"examine":[82],"how":[83],"the":[84,155],"reported":[85],"findings":[86],"are":[87],"derived.":[88],"In":[89],"our":[90],"experiments,":[91],"observe":[93],"RadAgent":[95,138,168],"improves":[96,112,131],"chest":[97,158],"generation":[100],"over":[101],"its":[102,149],"3D":[103,150],"VLM":[104,151],"counterpart,":[105],"CT-Chat,":[106],"across":[107],"three":[108],"dimensions.":[109],"Clinical":[110],"accuracy":[111],"5.8":[114],"points":[115,122,134],"(35.4%":[116],"relative)":[117,124],"in":[118,125,141,148],"macro-F1":[119],"5.1":[121],"(18.6%":[123],"micro-F1.":[126],"Robustness":[127],"under":[128],"adversarial":[129],"conditions":[130],"24.7":[133],"(41.9%":[135],"relative).":[136],"Furthermore,":[137],"achieves":[139],"37.0%":[140],"faithfulness,":[142],"new":[144],"capability":[145],"entirely":[146],"absent":[147],"counterpart.":[152],"By":[153],"structuring":[154],"an":[161],"explicit,":[162],"tool-augmented":[163],"iterative":[165],"trace,":[167],"brings":[169],"us":[170],"closer":[171],"toward":[172],"transparent":[173],"reliable":[175],"radiology.":[178]},"counts_by_year":[],"updated_date":"2026-06-03T06:16:58.514037","created_date":"2026-04-18T00:00:00"}