{"id":"https://openalex.org/W7128307487","doi":"https://doi.org/10.26599/bdma.2025.9020037","title":"Semantic Feedback-Based RAG for Radiology Report Generation","display_name":"Semantic Feedback-Based RAG for Radiology Report Generation","publication_year":2026,"publication_date":"2026-02-06","ids":{"openalex":"https://openalex.org/W7128307487","doi":"https://doi.org/10.26599/bdma.2025.9020037"},"language":"en","primary_location":{"id":"doi:10.26599/bdma.2025.9020037","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2025.9020037","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654","2097-406X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.26599/bdma.2025.9020037","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125356453","display_name":"Xing Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Jia","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University,Shanghai,China,200000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University,Shanghai,China,200000","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125363746","display_name":"Yun Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Xiong","raw_affiliation_strings":["School of Computer Science, Fudan University,Shanghai,China,200000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University,Shanghai,China,200000","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125359411","display_name":"Songwen Pei","orcid":null},"institutions":[{"id":"https://openalex.org/I67001856","display_name":"Shanghai Institute of Technology","ror":"https://ror.org/00fjzqj15","country_code":"CN","type":"education","lineage":["https://openalex.org/I67001856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songwen Pei","raw_affiliation_strings":["Shanghai Institute of Technology,Faculty of Intelligence Technology,Shanghai,China,201418"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Institute of Technology,Faculty of Intelligence Technology,Shanghai,China,201418","institution_ids":["https://openalex.org/I67001856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419861","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0003-2179-3698"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yumeng Zhang","raw_affiliation_strings":["School of Management, Guangdong University of Science and Technology,Guangzhou,China,523083"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Guangdong University of Science and Technology,Guangzhou,China,523083","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057832613","display_name":"Cairong Yan","orcid":"https://orcid.org/0000-0003-0313-8833"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cairong Yan","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University,Shanghai,China,200000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University,Shanghai,China,200000","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121791520","display_name":"Zhijun Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijun Fang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University,Shanghai,China,200000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University,Shanghai,China,200000","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":20.4598,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.98928707,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"9","issue":"2","first_page":"393","last_page":"406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11894","display_name":"Radiology practices and education","score":0.41999998688697815,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11894","display_name":"Radiology practices and education","score":0.41999998688697815,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10028","display_name":"Topic Modeling","score":0.16279999911785126,"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":0.07419999688863754,"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/feature","display_name":"Feature (linguistics)","score":0.27880001068115234},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.25929999351501465},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.23829999566078186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5127999782562256},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.35530000925064087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3472000062465668},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3343999981880188},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.2498999983072281},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.23829999566078186},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2264000028371811},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2151000052690506}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26599/bdma.2025.9020037","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2025.9020037","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654","2097-406X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ebf7380b81fc43ff8238cb1fad6a55c7","is_oa":true,"landing_page_url":"https://doaj.org/article/ebf7380b81fc43ff8238cb1fad6a55c7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data Mining and Analytics, Vol 9, Iss 2, Pp 393-406 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.26599/bdma.2025.9020037","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2025.9020037","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654","2097-406X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1842889563","display_name":null,"funder_award_id":"2232025D-34","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1895577753","https://openalex.org/W2152772232","https://openalex.org/W2302086703","https://openalex.org/W2549599535","https://openalex.org/W2770165365","https://openalex.org/W2890888035","https://openalex.org/W2903721568","https://openalex.org/W2938603906","https://openalex.org/W2942396292","https://openalex.org/W2963075078","https://openalex.org/W2963101956","https://openalex.org/W2963446712","https://openalex.org/W2963466845","https://openalex.org/W2963967185","https://openalex.org/W2979861699","https://openalex.org/W2980483218","https://openalex.org/W2990818246","https://openalex.org/W2997704374","https://openalex.org/W2998702515","https://openalex.org/W3003817677","https://openalex.org/W3034655362","https://openalex.org/W3104609094","https://openalex.org/W3128439646","https://openalex.org/W3166845084","https://openalex.org/W3174714208","https://openalex.org/W3175737519","https://openalex.org/W3177048142","https://openalex.org/W3181252431","https://openalex.org/W3204897360","https://openalex.org/W4221153690","https://openalex.org/W4231122779","https://openalex.org/W4285108627","https://openalex.org/W4285531589","https://openalex.org/W4364302332","https://openalex.org/W4385245566","https://openalex.org/W4385572953","https://openalex.org/W4385573131","https://openalex.org/W4385574177","https://openalex.org/W4386076127","https://openalex.org/W4386076665","https://openalex.org/W4387171875","https://openalex.org/W4402351533","https://openalex.org/W4402582321"],"related_works":[],"abstract_inverted_index":{"Radiology":[0,89],"report":[1,40,52,90,227],"generation":[2,41,53,91],"aims":[3],"to":[4,117,202,216,223],"produce":[5],"textual":[6],"reports":[7],"automatically":[8],"based":[9,39,87],"on":[10,195],"input":[11,72,176],"images,":[12],"a":[13,145],"critical":[14],"process":[15],"that":[16],"aids":[17],"in":[18,30],"accurate":[19],"diagnoses":[20],"and":[21,66,74,105,120,139,156,178,200],"lightens":[22],"the":[23,47,71,75,84,100,106,133,136,141,152,159,164,167,172,175,179,204,217],"workload":[24],"of":[25,63,68,154,166,206],"radiologists.":[26],"Following":[27],"recent":[28],"advances":[29],"Large":[31],"Language":[32],"Models":[33],"(LLMs),":[34],"several":[35],"Retrieval-Augmented":[36],"Generation":[37],"(RAG)":[38],"models":[42,54],"have":[43],"been":[44],"proposed.":[45],"Despite":[46],"continuously":[48],"improved":[49],"performance,":[50],"these":[51],"often":[55],"suffer":[56],"from":[57,187],"two":[58,97,196],"main":[59],"limitations,":[60],"i.e.,":[61],"interference":[62],"irrelevant":[64,126],"information,":[65,123],"lack":[67],"alignment":[69,173],"between":[70,174],"image":[73,177],"resulting":[76,180],"generated":[77,181],"report.":[78],"In":[79],"this":[80],"study,":[81],"we":[82],"propose":[83],"Semantic":[85],"feedback":[86],"RAG":[88],"model,":[92,149],"namely":[93],"RAGSemRad.":[94,207],"RAGSemRad":[95,211],"comprises":[96],"key":[98],"components:":[99],"fine-grained":[101,111],"semantic":[102,107,112,137,160],"retrieval":[103,113],"module":[104,114,162],"assessment":[108,161],"module.":[109],"The":[110,208],"is":[115,129],"designed":[116],"retrieve":[118],"adequate":[119],"relevant":[121],"prompt":[122],"while":[124],"ignoring":[125],"interference.":[127],"This":[128],"achieved":[130],"by":[131,170],"clustering":[132],"data":[134],"at":[135],"level":[138],"leveraging":[140],"domain":[142],"knowledge":[143],"within":[144],"large":[146],"pre-trained":[147],"visual-language":[148],"thus":[150],"alleviating":[151],"issues":[153],"hallucination":[155],"databias.":[157],"Further,":[158],"enhances":[163],"performance":[165,205,214],"upper":[168],"bound":[169],"enhancing":[171],"report,":[182],"utilizing":[183],"supervision":[184],"signals":[185],"derived":[186],"paired":[188],"image-label":[189],"data.":[190],"Experimental":[191],"evaluations":[192],"are":[193],"conducted":[194],"benchmarks,":[197],"IU":[198],"X-Ray":[199],"MIMIC-CXR,":[201],"assess":[203],"results":[209],"demonstrate":[210],"exhibits":[212],"competitive":[213],"compared":[215],"state-of-the-art":[218],"methods,":[219],"showcasing":[220],"its":[221],"potential":[222],"advance":[224],"automatic":[225],"radiology":[226],"generation.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-02-09T06:03:36.439944","created_date":"2026-02-09T00:00:00"}