{"id":"https://openalex.org/W7164801574","doi":"https://doi.org/10.48550/arxiv.2606.13945","title":"MedLatentDx: Latent Multi-Agent Communication for Cross-Hospital Rare-Disease Diagnosis","display_name":"MedLatentDx: Latent Multi-Agent Communication for Cross-Hospital Rare-Disease Diagnosis","publication_year":2026,"publication_date":"2026-06-11","ids":{"openalex":"https://openalex.org/W7164801574","doi":"https://doi.org/10.48550/arxiv.2606.13945"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.13945","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.13945","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2606.13945","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138677497","display_name":"Ziqing Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Ziqing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021606172","display_name":"L Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Lili","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138683888","display_name":"Kaize Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ding, Kaize","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/T13702","display_name":"Machine Learning in Healthcare","score":0.3540000021457672,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.3540000021457672,"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/T10028","display_name":"Topic Modeling","score":0.258899986743927,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.06599999964237213,"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/latent-class-model","display_name":"Latent class model","score":0.47519999742507935},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4185999929904938},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.40299999713897705},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.37700000405311584},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.36079999804496765},{"id":"https://openalex.org/keywords/institution","display_name":"Institution","score":0.34549999237060547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4887000024318695},{"id":"https://openalex.org/C70727504","wikidata":"https://www.wikidata.org/wiki/Q1806878","display_name":"Latent class model","level":2,"score":0.47519999742507935},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4185999929904938},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.40299999713897705},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.37700000405311584},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.359499990940094},{"id":"https://openalex.org/C2780510313","wikidata":"https://www.wikidata.org/wiki/Q178706","display_name":"Institution","level":2,"score":0.34549999237060547},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.29679998755455017},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26989999413490295},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.25949999690055847},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.2583000063896179}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.13945","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.13945","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2606.13945","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.13945","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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/17","score":0.4099659323692322,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Rare":[0],"diseases":[1],"affect":[2],"over":[3],"$300$":[4],"million":[5],"patients":[6],"across":[7,51],"more":[8],"than":[9],"$7{,}000$":[10],"conditions,":[11],"yet":[12],"no":[13],"single":[14],"hospital":[15,96,125],"encounters":[16],"enough":[17],"cases":[18,104],"of":[19,47],"any":[20],"one":[21],"condition":[22],"for":[23,116],"reliable":[24],"diagnosis.":[25,118],"Cross-hospital":[26],"collaboration":[27],"could":[28],"help":[29],"by":[30],"allowing":[31],"a":[32,89,113,143],"diagnosing":[33],"institution":[34],"to":[35,112,162],"use":[36,127,137],"distributed,":[37],"case-specific":[38],"diagnostic":[39,154],"evidence,":[40],"but":[41],"privacy":[42],"regulations":[43],"restrict":[44],"the":[45],"transmission":[46],"identifiable":[48],"clinical":[49,84,100,159],"text":[50],"institutional":[52],"boundaries.":[53],"This":[54],"setting":[55],"raises":[56],"two":[57,121],"challenges:":[58],"existing":[59],"medical":[60],"agent":[61,115],"systems":[62],"often":[63],"rely":[64],"on":[65],"textual":[66],"evidence":[67],"exchange,":[68],"while":[69,131,156],"raw":[70],"latent":[71,90,109,128,139],"states":[72,76],"such":[73],"as":[74],"hidden":[75],"and":[77,102,106],"KV":[78,110,129],"caches":[79],"may":[80],"still":[81],"reveal":[82],"prompt-derived":[83],"content.":[85],"We":[86],"introduce":[87],"MedLatentDx,":[88],"multi-agent":[91],"communication":[92,164],"framework":[93],"in":[94],"which":[95],"agents":[97,126],"keep":[98],"private":[99],"records":[101],"retrieved":[103],"local,":[105],"send":[107],"compact":[108],"blocks":[111],"host":[114],"rare-disease":[117,146],"MedLatentDx":[119,151],"supports":[120],"deployment":[122],"settings:":[123],"same-backbone":[124],"distillation,":[130],"hospitals":[132],"with":[133,148],"different":[134],"LLM":[135],"backbones":[136],"cross-family":[138],"alignment.":[140],"On":[141],"CrossRare-Bench,":[142],"self-built":[144],"large-scale":[145],"benchmark":[147],"hospital-level":[149],"partitions,":[150],"improves":[152],"cross-hospital":[153],"performance":[155],"reducing":[157],"reconstructable":[158],"content":[160],"relative":[161],"raw-latent":[163],"baselines.":[165]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-16T00:00:00"}