{"id":"https://openalex.org/W7134973319","doi":"https://doi.org/10.48550/arxiv.2603.09733","title":"FetalAgents: A Multi-Agent System for Fetal Ultrasound Image and Video Analysis","display_name":"FetalAgents: A Multi-Agent System for Fetal Ultrasound Image and Video Analysis","publication_year":2026,"publication_date":"2026-03-10","ids":{"openalex":"https://openalex.org/W7134973319","doi":"https://doi.org/10.48550/arxiv.2603.09733"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.09733","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09733","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.2603.09733","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128697768","display_name":"Xiaotian Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hu, Xiaotian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128750418","display_name":"Junwei Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Junwei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128744307","display_name":"Mingxuan Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Mingxuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128720857","display_name":"Kasidit Anmahapong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anmahapong, Kasidit","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128731811","display_name":"Yifei Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yifei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128790365","display_name":"Yitong Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Yitong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128752778","display_name":"Yiming Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Yiming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045682903","display_name":"Xuguang Bai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bai, Xuguang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128730941","display_name":"Zihan Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Zihan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128704452","display_name":"Yi Liao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liao, Yi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125522165","display_name":"Haibo Qu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qu, Haibo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128708270","display_name":"Qiyuan Tian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Qiyuan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5128697768"],"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/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.894599974155426,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.894599974155426,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.021900000050663948,"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/T12183","display_name":"Teratomas and Epidermoid Cysts","score":0.009399999864399433,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6194000244140625},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.5763000249862671},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.3540000021457672},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.3474999964237213},{"id":"https://openalex.org/keywords/ultrasound-imaging","display_name":"Ultrasound imaging","score":0.3391999900341034},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3037000000476837}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7010999917984009},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6194000244140625},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.5763000249862671},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5296000242233276},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47859999537467957},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.3540000021457672},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3474999964237213},{"id":"https://openalex.org/C2986892559","wikidata":"https://www.wikidata.org/wiki/Q234904","display_name":"Ultrasound imaging","level":3,"score":0.3391999900341034},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3037000000476837},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30169999599456787},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.2653000056743622},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.09733","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09733","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.2603.09733","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09733","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Fetal":[0],"ultrasound":[1,162],"(US)":[2],"is":[3],"the":[4,17,20,43,59,137],"primary":[5],"imaging":[6],"modality":[7],"for":[8,33,63,160],"prenatal":[9],"screening,":[10],"yet":[11],"its":[12],"interpretation":[13],"relies":[14],"heavily":[15],"on":[16],"expertise":[18],"of":[19],"clinician.":[21],"Despite":[22],"advances":[23,90],"in":[24],"deep":[25],"learning":[26],"and":[27,86,114,140,148,164],"foundation":[28],"models,":[29],"existing":[30],"automated":[31],"tools":[32],"fetal":[34,65,161],"US":[35,66],"analysis":[36,94,163],"struggle":[37],"to":[38,47,80],"balance":[39],"task-specific":[40],"accuracy":[41],"with":[42,116],"whole-process":[44],"versatility":[45],"required":[46],"support":[48],"end-to-end":[49,97],"clinical":[50,122,130],"workflows.":[51],"To":[52],"address":[53],"these":[54],"limitations,":[55],"we":[56],"propose":[57],"FetalAgents,":[58],"first":[60],"multi-agent":[61],"system":[62],"comprehensive":[64],"analysis.":[67],"Through":[68],"a":[69,120],"lightweight,":[70],"agentic":[71],"coordination":[72],"framework,":[73],"FetalAgents":[74,89,134],"dynamically":[75],"orchestrates":[76],"specialized":[77,146],"vision":[78],"experts":[79],"maximize":[81],"performance":[82,142],"across":[83,106,128],"diagnosis,":[84],"measurement,":[85],"segmentation.":[87],"Furthermore,":[88],"beyond":[91],"static":[92],"image":[93],"by":[95,111],"supporting":[96],"video":[98],"stream":[99],"summarization,":[100],"where":[101],"keyframes":[102],"are":[103],"automatically":[104],"identified":[105],"multiple":[107],"anatomical":[108],"planes,":[109],"analyzed":[110],"coordinated":[112],"experts,":[113],"synthesized":[115],"patient":[117],"metadata":[118],"into":[119],"structured":[121],"report.":[123],"Extensive":[124],"multi-center":[125],"external":[126],"evaluations":[127],"eight":[129],"tasks":[131],"demonstrate":[132],"that":[133],"consistently":[135],"delivers":[136],"most":[138],"robust":[139],"accurate":[141],"when":[143],"compared":[144],"against":[145],"models":[147,152],"multimodal":[149],"large":[150],"language":[151],"(MLLMs),":[153],"ultimately":[154],"providing":[155],"an":[156],"auditable,":[157],"workflow-aligned":[158],"solution":[159],"reporting.":[165]},"counts_by_year":[],"updated_date":"2026-03-12T06:18:43.230356","created_date":"2026-03-12T00:00:00"}