{"id":"https://openalex.org/W7133311104","doi":"https://doi.org/10.48550/arxiv.2603.00462","title":"OPGAgent: An Agent for Auditable Dental Panoramic X-ray Interpretation","display_name":"OPGAgent: An Agent for Auditable Dental Panoramic X-ray Interpretation","publication_year":2026,"publication_date":"2026-02-28","ids":{"openalex":"https://openalex.org/W7133311104","doi":"https://doi.org/10.48550/arxiv.2603.00462"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.00462","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00462","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.00462","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006481462","display_name":"Zhaolin Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Zhaolin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128012621","display_name":"Litao Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Litao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127996380","display_name":"Ben Babicka","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Babicka, Ben","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127960576","display_name":"Ming Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Ming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128024448","display_name":"Jing Hao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao, Jing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127884182","display_name":"Anthony Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Anthony","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127933543","display_name":"James Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, James","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127893184","display_name":"Yueming Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin, Yueming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060062341","display_name":"Jiasong Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Jiasong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127944496","display_name":"Zongyuan Ge","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ge, Zongyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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/T11363","display_name":"Dental Radiography and Imaging","score":0.5575000047683716,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.5575000047683716,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12439","display_name":"Dental Research and COVID-19","score":0.05660000070929527,"subfield":{"id":"https://openalex.org/subfields/3500","display_name":"General Dentistry"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.022199999541044235,"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/toolbox","display_name":"Toolbox","score":0.6226999759674072},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.5400000214576721},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5368000268936157},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.4921000003814697},{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.35670000314712524},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.3540000021457672},{"id":"https://openalex.org/keywords/expert-system","display_name":"Expert system","score":0.35370001196861267}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6474000215530396},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.6226999759674072},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5400000214576721},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5368000268936157},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.4921000003814697},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.35670000314712524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3555000126361847},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3540000021457672},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.35370001196861267},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.35359999537467957},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.30889999866485596},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3050999939441681},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.29190000891685486},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2831999957561493},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.00462","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00462","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.00462","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00462","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":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4988338053226471,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Orthopantomograms":[0],"(OPGs)":[1],"are":[2],"the":[3,57,160,169],"standard":[4],"panoramic":[5],"radiograph":[6],"in":[7,56],"dentistry,":[8],"used":[9],"for":[10,73],"full-arch":[11],"screening":[12],"across":[13,182],"multiple":[14],"diagnostic":[15],"tasks.":[16,37],"While":[17],"Vision":[18],"Language":[19],"Models":[20],"(VLMs)":[21],"now":[22],"allow":[23],"multi-task":[24],"OPG":[25,75,97],"analysis":[26,98],"through":[27,86,128],"natural":[28],"language,":[29],"they":[30],"underperform":[31],"task-specific":[32],"models":[33],"on":[34,139],"most":[35],"individual":[36],"Agentic":[38],"systems":[39],"that":[40,95,125],"orchestrate":[41],"specialized":[42,79],"tools":[43],"offer":[44],"a":[45,69,83,90,110,122,135,151],"path":[46],"to":[47],"both":[48,183],"versatility":[49],"and":[50,102,117,120,156,168,178,185],"accuracy,":[51],"this":[52,64],"approach":[53],"remains":[54],"unexplored":[55],"field":[58],"of":[59,154,162],"dental":[60,176],"imaging.":[61],"To":[62],"address":[63],"gap,":[65],"we":[66],"propose":[67,133],"OPGAgent,":[68],"multi-tool":[70],"agentic":[71],"system":[72],"auditable":[74],"interpretation.":[76],"OPGAgent":[77,173],"coordinates":[78],"perception":[80],"modules":[81],"with":[82,105],"consensus":[84],"mechanism":[85],"three":[87],"components:":[88],"(1)":[89],"Hierarchical":[91],"Evidence":[92],"Gathering":[93],"module":[94],"decomposes":[96],"into":[99],"global,":[100],"quadrant,":[101],"tooth-level":[103],"phases":[104],"dynamically":[106],"invoking":[107],"tools,":[108],"(2)":[109],"Specialized":[111],"Toolbox":[112],"encapsulating":[113],"spatial,":[114],"detection,":[115],"utility,":[116],"expert":[118],"zoos,":[119],"(3)":[121],"Consensus":[123],"Subagent":[124],"resolves":[126],"conflicts":[127],"anatomical":[129],"constraints.":[130],"We":[131],"further":[132],"OPG-Bench,":[134],"structured-report":[136,184],"protocol":[137],"based":[138],"(Location,":[140],"Field,":[141],"Value)":[142],"triples":[143],"derived":[144],"from":[145],"real":[146],"clinical":[147],"reports,":[148],"which":[149],"enables":[150],"comprehensive":[152],"review":[153],"findings":[155],"hallucinations,":[157],"extending":[158],"beyond":[159],"limitations":[161],"VQA":[163,186],"indicators.":[164],"On":[165],"our":[166],"OPG-Bench":[167],"public":[170],"MMOral-OPG":[171],"benchmark,":[172],"outperforms":[174],"current":[175],"VLMs":[177],"medical":[179],"agent":[180],"frameworks":[181],"evaluation.":[187],"Code":[188],"will":[189],"be":[190],"released":[191],"upon":[192],"acceptance.":[193]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-04T00:00:00"}