{"id":"https://openalex.org/W7135053210","doi":"https://doi.org/10.48550/arxiv.2603.10677","title":"Emulating Clinician Cognition via Self-Evolving Deep Clinical Research","display_name":"Emulating Clinician Cognition via Self-Evolving Deep Clinical Research","publication_year":2026,"publication_date":"2026-03-11","ids":{"openalex":"https://openalex.org/W7135053210","doi":"https://doi.org/10.48550/arxiv.2603.10677"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.10677","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.10677","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.2603.10677","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128849750","display_name":"Ruiyang Ren","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ren, Ruiyang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128841440","display_name":"Yuhao Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yuhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067964547","display_name":"Yongli Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Yunsen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128802584","display_name":"Lan Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Lan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128865593","display_name":"Jing Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128916524","display_name":"Haifeng Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Haifeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128901078","display_name":"Cong Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng, Cong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078349141","display_name":"Yinan Zhang","orcid":"https://orcid.org/0000-0002-7177-7410"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yinan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128868217","display_name":"Chunyan Miao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miao, Chunyan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128899507","display_name":"Ji-Rong Wen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen, Ji-Rong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128903860","display_name":"Wayne Xin Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Wayne Xin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5128849750"],"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.4878000020980835,"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"}},"topics":[{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.4878000020980835,"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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.33629998564720154,"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/T12574","display_name":"Clinical Reasoning and Diagnostic Skills","score":0.10010000318288803,"subfield":{"id":"https://openalex.org/subfields/2714","display_name":"Family Practice"},"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/cognition","display_name":"Cognition","score":0.6657999753952026},{"id":"https://openalex.org/keywords/cognitive-systems","display_name":"Cognitive systems","score":0.45010000467300415},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3443000018596649},{"id":"https://openalex.org/keywords/requisition","display_name":"Requisition","score":0.34040001034736633},{"id":"https://openalex.org/keywords/clinical-research","display_name":"Clinical research","score":0.33559998869895935},{"id":"https://openalex.org/keywords/medline","display_name":"MEDLINE","score":0.329800009727478},{"id":"https://openalex.org/keywords/clinical-diagnosis","display_name":"Clinical diagnosis","score":0.3142000138759613},{"id":"https://openalex.org/keywords/clinical-practice","display_name":"Clinical Practice","score":0.30709999799728394}],"concepts":[{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.6657999753952026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4699000120162964},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.46480000019073486},{"id":"https://openalex.org/C2986342778","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Cognitive systems","level":3,"score":0.45010000467300415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4260999858379364},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3443000018596649},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3433000147342682},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.34310001134872437},{"id":"https://openalex.org/C195319763","wikidata":"https://www.wikidata.org/wiki/Q106652107","display_name":"Requisition","level":2,"score":0.34040001034736633},{"id":"https://openalex.org/C502991105","wikidata":"https://www.wikidata.org/wiki/Q5133849","display_name":"Clinical research","level":2,"score":0.33559998869895935},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.329800009727478},{"id":"https://openalex.org/C2983449737","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Clinical diagnosis","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.28450000286102295},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28369998931884766},{"id":"https://openalex.org/C2778373050","wikidata":"https://www.wikidata.org/wiki/Q1774706","display_name":"Clinical pathway","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C2910417920","wikidata":"https://www.wikidata.org/wiki/Q4116434","display_name":"Patient privacy","level":3,"score":0.266400009393692},{"id":"https://openalex.org/C161407221","wikidata":"https://www.wikidata.org/wiki/Q4382939","display_name":"Cognitive model","level":3,"score":0.26190000772476196},{"id":"https://openalex.org/C2989179672","wikidata":"https://www.wikidata.org/wiki/Q6806500","display_name":"Clinical decision making","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.2556999921798706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.10677","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.10677","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.2603.10677","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.10677","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":{"Clinical":[0],"diagnosis":[1,29],"is":[2],"a":[3,44,96,134],"complex":[4],"cognitive":[5],"process,":[6],"grounded":[7],"in":[8],"dynamic":[9],"cue":[10],"acquisition":[11],"and":[12,64,92,121],"continuous":[13],"expertise":[14],"accumulation.":[15],"Yet":[16],"most":[17],"current":[18],"artificial":[19],"intelligence":[20],"(AI)":[21],"systems":[22],"are":[23],"misaligned":[24],"with":[25],"this":[26],"reality,":[27],"treating":[28],"as":[30,73],"single-pass":[31],"retrospective":[32],"prediction":[33],"while":[34],"lacking":[35],"auditable":[36],"mechanisms":[37],"for":[38,143],"governed":[39],"improvement.":[40],"We":[41],"developed":[42],"DxEvolve,":[43],"self-evolving":[45],"diagnostic":[46,74,83],"agent":[47],"that":[48],"bridges":[49],"these":[50],"gaps":[51],"through":[52],"an":[53,109,140],"interactive":[54],"deep":[55],"clinical":[56,67,148],"research":[57],"workflow.":[58],"The":[59],"framework":[60],"autonomously":[61],"requisitions":[62],"examinations":[63],"continually":[65],"externalizes":[66],"experience":[68,132],"from":[69],"increasing":[70],"encounter":[71],"exposure":[72],"cognition":[75],"primitives.":[76],"On":[77],"the":[78,101,118,127,144],"MIMIC-CDM":[79],"benchmark,":[80],"DxEvolve":[81,105,138],"improved":[82,106],"accuracy":[84,107],"by":[85,113,117],"11.2%":[86],"on":[87,95,108],"average":[88],"over":[89],"backbone":[90],"models":[91],"reached":[93],"90.4%":[94],"reader-study":[97],"subset,":[98],"comparable":[99],"to":[100,126],"clinician":[102],"reference":[103],"(88.8%).":[104],"independent":[110],"external":[111],"cohort":[112],"10.2%":[114],"(categories":[115],"covered":[116],"source":[119],"cohort)":[120],"17.1%":[122],"(uncovered":[123],"categories)":[124],"compared":[125],"competitive":[128],"method.":[129],"By":[130],"transforming":[131],"into":[133],"governable":[135],"learning":[136],"asset,":[137],"supports":[139],"accountable":[141],"pathway":[142],"continual":[145],"evolution":[146],"of":[147],"AI.":[149]},"counts_by_year":[],"updated_date":"2026-03-13T14:25:03.468858","created_date":"2026-03-13T00:00:00"}
