{"id":"https://openalex.org/W7134980091","doi":"https://doi.org/10.48550/arxiv.2603.09448","title":"A Guideline-Aware AI Agent for Zero-Shot Target Volume Auto-Delineation","display_name":"A Guideline-Aware AI Agent for Zero-Shot Target Volume Auto-Delineation","publication_year":2026,"publication_date":"2026-03-10","ids":{"openalex":"https://openalex.org/W7134980091","doi":"https://doi.org/10.48550/arxiv.2603.09448"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.09448","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09448","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":null,"license_id":null,"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.2603.09448","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040491693","display_name":"Yoon Jo Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Yoon Jo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128761895","display_name":"Wonyoung Cho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cho, Wonyoung","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128737572","display_name":"Jongmin Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Jongmin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128776501","display_name":"Han Joo Chae","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chae, Han Joo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037070530","display_name":"HYUNKI PARK","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Park, Hyunki","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030851929","display_name":"Sang Hoon Seo","orcid":"https://orcid.org/0000-0002-4903-0222"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seo, Sang Hoon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128720518","display_name":"Noh Jae Myung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Myung, Noh Jae","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128758147","display_name":"Kyungmi Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Kyungmi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085439440","display_name":"Dongryul Oh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oh, Dongryul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128709957","display_name":"Jin Sung Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Jin Sung","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"corresponding_author_ids":[],"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/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.6168000102043152,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.6168000102043152,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.08749999850988388,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.04270000010728836,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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":0.8769999742507935},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48510000109672546},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.41749998927116394},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4147999882698059},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.3716000020503998},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.36489999294281006},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.36309999227523804},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.3472000062465668}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8769999742507935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6492000222206116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5608000159263611},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48510000109672546},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43950000405311584},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.41749998927116394},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4147999882698059},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.3716000020503998},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.36489999294281006},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.36309999227523804},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3472000062465668},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.3345000147819519},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C509974204","wikidata":"https://www.wikidata.org/wiki/Q180507","display_name":"Radiation therapy","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.3003000020980835},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.27810001373291016},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C201645570","wikidata":"https://www.wikidata.org/wiki/Q830637","display_name":"Radiation treatment planning","level":3,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.09448","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09448","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.09448","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09448","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6122377514839172,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Delineating":[0],"the":[1,70,81,86,111,126],"clinical":[2,35,55,104,123],"target":[3,59,88],"volume":[4],"(CTV)":[5],"in":[6,61,101,117,164],"radiotherapy":[7,165],"involves":[8],"complex":[9],"margins":[10],"constrained":[11],"by":[12],"tumor":[13],"location":[14],"and":[15,83,122,134,159],"anatomical":[16,136],"barriers.":[17],"While":[18],"deep":[19],"learning":[20],"models":[21],"automate":[22],"this":[23,40],"process,":[24],"their":[25],"rigid":[26],"reliance":[27],"on":[28,66],"expert-annotated":[29],"data":[30],"requires":[31],"costly":[32],"retraining":[33],"whenever":[34],"guidelines":[36,56,133],"update.":[37],"To":[38],"overcome":[39],"limitation,":[41],"we":[42],"introduce":[43],"OncoAgent,":[44],"a":[45,62,73,95,102,157],"novel":[46],"guideline-aware":[47],"AI":[48],"agent":[49,71],"framework":[50,127],"that":[51],"seamlessly":[52],"converts":[53],"textual":[54],"into":[57],"three-dimensional":[58],"contours":[60],"training-free":[63],"manner.":[64],"Evaluated":[65],"esophageal":[67,132],"cancer":[68],"cases,":[69],"achieves":[72],"zero-shot":[74,129],"Dice":[75],"similarity":[76],"coefficient":[77],"of":[78],"0.842":[79],"for":[80,85],"CTV":[82],"0.880":[84],"planning":[87],"volume,":[89],"demonstrating":[90],"performance":[91],"highly":[92],"comparable":[93],"to":[94,130,153],"fully":[96],"supervised":[97,112],"nnU-Net":[98],"baseline.":[99],"Notably,":[100],"blinded":[103],"evaluation,":[105],"physicians":[106],"strongly":[107],"preferred":[108],"OncoAgent":[109],"over":[110],"baseline,":[113],"rating":[114],"it":[115],"higher":[116],"guideline":[118],"compliance,":[119],"modification":[120],"effort,":[121],"acceptability.":[124],"Furthermore,":[125],"generalizes":[128],"alternative":[131,154],"other":[135],"sites":[137],"(e.g.,":[138],"prostate)":[139],"without":[140],"any":[141],"retraining.":[142],"Beyond":[143],"mere":[144],"volumetric":[145],"overlap,":[146],"our":[147],"agent-based":[148],"paradigm":[149],"offers":[150],"near-instantaneous":[151],"adaptability":[152],"guidelines,":[155],"providing":[156],"scalable":[158],"transparent":[160],"pathway":[161],"toward":[162],"interpretability":[163],"treatment":[166],"planning.":[167]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-12T00:00:00"}