{"id":"https://openalex.org/W4415539399","doi":"https://doi.org/10.1145/3746027.3755418","title":"Tree-of-Reasoning: Towards Complex Medical Diagnosis via Multi-Agent Reasoning with Evidence Tree","display_name":"Tree-of-Reasoning: Towards Complex Medical Diagnosis via Multi-Agent Reasoning with Evidence Tree","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415539399","doi":"https://doi.org/10.1145/3746027.3755418"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3755418","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101682275","display_name":"Peng Qi","orcid":"https://orcid.org/0000-0001-7747-3293"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Peng","raw_affiliation_strings":["South China University of Technology, Guangzhou, China and Key Laboratory of Big Data and Intelligent Robot (SCUT), Ministry of Education, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7747-3293","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China and Key Laboratory of Big Data and Intelligent Robot (SCUT), Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001289013","display_name":"Jialin Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialin Cui","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-4250-7403","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049131355","display_name":"Jiayuan Xie","orcid":"https://orcid.org/0000-0002-6833-7879"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiayuan Xie","raw_affiliation_strings":["Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-6833-7879","affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089123257","display_name":"Yi Cai","orcid":"https://orcid.org/0000-0002-1767-789X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Cai","raw_affiliation_strings":["South China University of Technology, Guangzhou, China and Key Laboratory of Big Data and Intelligent Robot (SCUT), Ministry of Education, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1767-789X","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China and Key Laboratory of Big Data and Intelligent Robot (SCUT), Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404176","display_name":"Qing Li","orcid":"https://orcid.org/0000-0003-3370-471X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-3370-471X","affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":"1744","last_page":"1753"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9681000113487244,"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":0.9681000113487244,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9617999792098999,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9045000076293945,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.7163000106811523},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5755000114440918},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5479999780654907},{"id":"https://openalex.org/keywords/model-based-reasoning","display_name":"Model-based reasoning","score":0.5120999813079834},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5048999786376953},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4438000023365021},{"id":"https://openalex.org/keywords/reasoning-system","display_name":"Reasoning system","score":0.42309999465942383},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.32440000772476196}],"concepts":[{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.7163000106811523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6887000203132629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5906000137329102},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5755000114440918},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5479999780654907},{"id":"https://openalex.org/C37335422","wikidata":"https://www.wikidata.org/wiki/Q6888134","display_name":"Model-based reasoning","level":3,"score":0.5120999813079834},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5048999786376953},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4853000044822693},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4438000023365021},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.42309999465942383},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39489999413490295},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.32440000772476196},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.2944999933242798},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.29420000314712524},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C2779231881","wikidata":"https://www.wikidata.org/wiki/Q5977147","display_name":"Medical literature","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.262800008058548},{"id":"https://openalex.org/C2983449737","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Clinical diagnosis","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2599000036716461},{"id":"https://openalex.org/C3019150057","wikidata":"https://www.wikidata.org/wiki/Q92779279","display_name":"Medical information","level":2,"score":0.25690001249313354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3755418","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G453967609","display_name":null,"funder_award_id":"62476097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W4252076394","https://openalex.org/W4381930847","https://openalex.org/W4385227045","https://openalex.org/W4387835442","https://openalex.org/W4388994228","https://openalex.org/W4392414327","https://openalex.org/W4400307907","https://openalex.org/W4402220065","https://openalex.org/W4402665833","https://openalex.org/W4402670290","https://openalex.org/W4402670791","https://openalex.org/W4402671229","https://openalex.org/W4402684050","https://openalex.org/W4403791802","https://openalex.org/W4403813762","https://openalex.org/W4404317023","https://openalex.org/W4405268957","https://openalex.org/W4408168003","https://openalex.org/W4411147644"],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2,14],"(LLMs)":[3],"have":[4],"shown":[5],"great":[6],"potential":[7],"in":[8,25,120],"the":[9,26,86,92,97,107,114],"medical":[10,22,53,122,128],"domain.":[11],"However,":[12],"existing":[13,139],"still":[15],"fall":[16],"short":[17],"when":[18,46],"faced":[19],"with":[20],"complex":[21,74,121],"diagnosis":[23],"task":[24],"real":[27],"world.":[28],"This":[29],"is":[30],"mainly":[31],"because":[32],"they":[33],"lack":[34],"sufficient":[35],"reasoning":[36,87,116],"depth,":[37],"which":[38],"leads":[39],"to":[40,56,72,105],"information":[41],"loss":[42],"or":[43],"logical":[44],"jumps":[45],"processing":[47],"a":[48,67,79,102],"large":[49],"amount":[50],"of":[51,89,109,118],"specialized":[52],"data,":[54],"leading":[55],"diagnostic":[57],"errors.":[58],"To":[59],"address":[60],"these":[61],"challenges,":[62],"we":[63,100],"propose":[64,101],"Tree-of-Reasoning":[65],"(ToR),":[66],"novel":[68],"multi-agent":[69,110],"framework":[70,133],"designed":[71],"handle":[73],"scenarios.":[75,123],"Specifically,":[76],"ToR":[77],"introduces":[78],"tree":[80],"structure":[81],"that":[82,131],"can":[83,134],"clearly":[84],"record":[85],"path":[88],"LLMs":[90],"and":[91],"corresponding":[93],"clinical":[94,115],"evidence.":[95],"At":[96],"same":[98],"time,":[99],"cross-validation":[103],"mechanism":[104],"ensure":[106],"consistency":[108],"decision-making,":[111],"thereby":[112],"improving":[113],"ability":[117],"multi-agents":[119],"Experimental":[124],"results":[125],"on":[126],"real-world":[127],"data":[129],"show":[130],"our":[132],"achieve":[135],"better":[136],"performance":[137],"than":[138],"baseline":[140],"methods.":[141]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-25T00:00:00"}