{"id":"https://openalex.org/W7152719526","doi":"https://doi.org/10.1145/3774904.3792986","title":"Concept Relationship Embedding-Based Interactive Web Application for Explainable Medical Diagnosis","display_name":"Concept Relationship Embedding-Based Interactive Web Application for Explainable Medical Diagnosis","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7152719526","doi":"https://doi.org/10.1145/3774904.3792986"},"language":null,"primary_location":{"id":"doi:10.1145/3774904.3792986","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792986","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774904.3792986","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Lei Zhao","orcid":"https://orcid.org/0000-0002-3397-4042"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhao","raw_affiliation_strings":["Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3397-4042","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102596737","display_name":"Xingguo Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingguo Lv","raw_affiliation_strings":["Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0007-4544-0324","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127780761","display_name":"Q. Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Qika Lin","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-5650-0600","affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034376285","display_name":"Kaize Shi","orcid":"https://orcid.org/0000-0003-3561-3627"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kaize Shi","raw_affiliation_strings":["University of Southern Queensland, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0003-3561-3627","affiliations":[{"raw_affiliation_string":"University of Southern Queensland, Sydney, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125458879","display_name":"Xiaoming Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiaoming Qi","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-3238-2002","affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021389701","display_name":"Bin Pu","orcid":"https://orcid.org/0009-0007-8771-6501"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bin Pu","raw_affiliation_strings":["The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0009-0007-8771-6501","affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078793726","display_name":"Kenli Li","orcid":"https://orcid.org/0000-0002-2635-7716"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kenli Li","raw_affiliation_strings":["Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2635-7716","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52048336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8973","last_page":"8983"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.23970000445842743,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.23970000445842743,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.1460999995470047,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.030300000682473183,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7024000287055969},{"id":"https://openalex.org/keywords/web-application","display_name":"Web application","score":0.5275999903678894},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.35530000925064087},{"id":"https://openalex.org/keywords/web-technology","display_name":"Web technology","score":0.2994000017642975},{"id":"https://openalex.org/keywords/doctor\u2013patient-relationship","display_name":"Doctor\u2013patient relationship","score":0.29249998927116394},{"id":"https://openalex.org/keywords/medline","display_name":"MEDLINE","score":0.2849000096321106}],"concepts":[{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.7024000287055969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5752999782562256},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.5275999903678894},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3741999864578247},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.35530000925064087},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.30070000886917114},{"id":"https://openalex.org/C3017536980","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"Web technology","level":3,"score":0.2994000017642975},{"id":"https://openalex.org/C2775961244","wikidata":"https://www.wikidata.org/wiki/Q905758","display_name":"Doctor\u2013patient relationship","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C3019150057","wikidata":"https://www.wikidata.org/wiki/Q92779279","display_name":"Medical information","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2623000144958496},{"id":"https://openalex.org/C2984519610","wikidata":"https://www.wikidata.org/wiki/Q35127","display_name":"Web site","level":3,"score":0.257999986410141},{"id":"https://openalex.org/C2983449737","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Clinical diagnosis","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774904.3792986","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792986","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774904.3792986","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792986","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W3035682985","https://openalex.org/W3085389796","https://openalex.org/W3096609285","https://openalex.org/W3112579230","https://openalex.org/W3140120701","https://openalex.org/W3175314453","https://openalex.org/W3204544513","https://openalex.org/W4304083970","https://openalex.org/W4324135233","https://openalex.org/W4382239763","https://openalex.org/W4382318444","https://openalex.org/W4388841096","https://openalex.org/W4389213257","https://openalex.org/W4393158502","https://openalex.org/W4394597976","https://openalex.org/W4401241725","https://openalex.org/W4401646544","https://openalex.org/W4402754172","https://openalex.org/W4403365607","https://openalex.org/W4405222077","https://openalex.org/W4409269128","https://openalex.org/W4409366889","https://openalex.org/W4409657039","https://openalex.org/W4409657103","https://openalex.org/W4409657176","https://openalex.org/W4413146656","https://openalex.org/W4413147363","https://openalex.org/W4414349805","https://openalex.org/W7131098611"],"related_works":[],"abstract_inverted_index":{"Deep":[0],"learning":[1],"has":[2],"made":[3],"remarkable":[4],"progress":[5],"in":[6],"medical":[7,85,130],"image":[8],"analysis,":[9],"yet":[10],"its":[11],"black-box":[12],"nature":[13],"still":[14],"limits":[15],"interpretability":[16],"and":[17,42,64,108,115,120,142,152,174],"clinician":[18],"trust.":[19],"Concept-based":[20],"modeling":[21],"offers":[22],"a":[23,104],"promising":[24],"direction":[25],"for":[26,83],"explainable":[27],"AI":[28],"by":[29,92],"integrating":[30],"human-understandable":[31],"concepts.":[32,54],"However,":[33],"existing":[34],"approaches":[35],"typically":[36],"rely":[37],"on":[38,47,68,127,138],"global":[39],"concept":[40,105,140,168,177],"annotations":[41],"infer":[43],"diagnosis":[44],"based":[45],"solely":[46],"the":[48,59,77],"presence":[49],"or":[50],"absence":[51],"of":[52],"individual":[53],"This":[55],"oversimplified":[56],"paradigm":[57],"ignores":[58],"rich":[60],"relationships":[61,102],"among":[62],"concepts":[63,114],"their":[65,101],"causal":[66,111],"influence":[67],"disease":[69,143],"outcomes.":[70],"To":[71],"overcome":[72],"these":[73],"limitations,":[74],"we":[75,155],"propose":[76],"Concept":[78],"Relationship":[79],"Embedding":[80],"Model":[81],"(CREM)":[82],"interpretable":[84],"diagnosis.":[86],"CREM":[87,126,157],"mirrors":[88],"coarse-to-fine":[89],"clinical":[90],"reasoning":[91,172],"first":[93],"extracting":[94],"fine-grained":[95],"subregional":[96],"concepts,":[97],"then":[98],"explicitly":[99],"encoding":[100],"as":[103,158],"interaction":[106],"graph,":[107],"finally":[109],"performing":[110],"inference":[112],"between":[113],"diagnoses":[116],"to":[117,166],"enable":[118],"reliable":[119],"transparent":[121],"diagnostic":[122,171],"predictions.":[123],"We":[124],"evaluate":[125],"four":[128],"public":[129],"imaging":[131],"benchmarks,":[132],"where":[133],"it":[134],"achieves":[135],"state-of-the-art":[136],"performance":[137],"both":[139],"recognition":[141],"classification":[144],"tasks,":[145],"while":[146],"exhibiting":[147],"improved":[148],"robustness,":[149],"label":[150],"efficiency,":[151],"interpretability.":[153],"Furthermore,":[154],"deploy":[156],"an":[159],"interactive":[160],"web-based":[161],"demo":[162],"that":[163],"allows":[164],"clinicians":[165],"visualize":[167],"activations,":[169],"trace":[170],"paths,":[173],"iteratively":[175],"refine":[176],"cues,":[178],"facilitating":[179],"effective":[180],"human-in-the-loop":[181],"decision-making.":[182]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-10T00:00:00"}
