{"id":"https://openalex.org/W4402473640","doi":"https://doi.org/10.1109/ccece59415.2024.10667245","title":"Adapting Large Language Models for Automatic Annotation of Radiology Reports for Metastases Detection","display_name":"Adapting Large Language Models for Automatic Annotation of Radiology Reports for Metastases Detection","publication_year":2024,"publication_date":"2024-08-06","ids":{"openalex":"https://openalex.org/W4402473640","doi":"https://doi.org/10.1109/ccece59415.2024.10667245"},"language":"en","primary_location":{"id":"doi:10.1109/ccece59415.2024.10667245","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccece59415.2024.10667245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"},"type":"article","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/A5064240187","display_name":"Maede Ashofteh Barabadi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Maede Ashofteh Barabadi","raw_affiliation_strings":["Queen&#x2019;s University,Ingenuity Labs Research Institute,Department of Electrical and Computer Engineering,Kingston,Canada"],"affiliations":[{"raw_affiliation_string":"Queen&#x2019;s University,Ingenuity Labs Research Institute,Department of Electrical and Computer Engineering,Kingston,Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109611759","display_name":"Wai Yip Chan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wai Yip Chan","raw_affiliation_strings":["Queen&#x2019;s University,Ingenuity Labs Research Institute,Department of Electrical and Computer Engineering,Kingston,Canada"],"affiliations":[{"raw_affiliation_string":"Queen&#x2019;s University,Ingenuity Labs Research Institute,Department of Electrical and Computer Engineering,Kingston,Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016892586","display_name":"Xiaodan Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaodan Zhu","raw_affiliation_strings":["Queen&#x2019;s University,Ingenuity Labs Research Institute,Department of Electrical and Computer Engineering,Kingston,Canada"],"affiliations":[{"raw_affiliation_string":"Queen&#x2019;s University,Ingenuity Labs Research Institute,Department of Electrical and Computer Engineering,Kingston,Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000336389","display_name":"Amber L. Simpson","orcid":"https://orcid.org/0000-0002-4387-8417"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Amber L. Simpson","raw_affiliation_strings":["Queen&#x2019;s University,School of Computing,Department of Biomedical and Molecular Sciences,Kingston,Canada"],"affiliations":[{"raw_affiliation_string":"Queen&#x2019;s University,School of Computing,Department of Biomedical and Molecular Sciences,Kingston,Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058483454","display_name":"Richard Kinh Gian","orcid":"https://orcid.org/0000-0002-6554-0310"},"institutions":[{"id":"https://openalex.org/I1334819555","display_name":"Memorial Sloan Kettering Cancer Center","ror":"https://ror.org/02yrq0923","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1334819555"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard K. G. Do","raw_affiliation_strings":["Memorial Sloan Kettering Cancer Center,Department of Radiology,New York,NY,USA"],"affiliations":[{"raw_affiliation_string":"Memorial Sloan Kettering Cancer Center,Department of Radiology,New York,NY,USA","institution_ids":["https://openalex.org/I1334819555"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5064240187"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3626,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66594729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"340","last_page":"345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9977999925613403,"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/T10028","display_name":"Topic Modeling","score":0.9977999925613403,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9824000000953674,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7386534214019775},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6956270337104797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3713955283164978},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35375910997390747}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7386534214019775},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6956270337104797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3713955283164978},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35375910997390747}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece59415.2024.10667245","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccece59415.2024.10667245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2560688864","https://openalex.org/W2896457183","https://openalex.org/W2963611386","https://openalex.org/W3080098168","https://openalex.org/W3168867926","https://openalex.org/W3174770825","https://openalex.org/W3189476076","https://openalex.org/W4205991051","https://openalex.org/W4214933629","https://openalex.org/W4285247752","https://openalex.org/W4287867546","https://openalex.org/W4322766882","https://openalex.org/W4379522696","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6773552240","https://openalex.org/W6796581206"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Automatic":[0],"identification":[1],"of":[2,136,141,153],"metastatic":[3],"sites":[4],"in":[5,112,139,181],"cancer":[6],"patients":[7],"from":[8,35],"electronic":[9],"health":[10],"records":[11],"is":[12],"a":[13,30,178],"challenging":[14],"yet":[15],"crucial":[16],"task":[17],"with":[18,132,185],"significant":[19],"implications":[20],"for":[21,109,172],"diagnosis":[22],"and":[23,55,66,76,88,117,158,163],"treatment.":[24],"In":[25],"this":[26],"study,":[27],"we":[28,82],"propose":[29],"method":[31,169],"to":[32,125,188],"detect":[33],"metastases":[34,110],"non-structured":[36,64,89],"radiology":[37,174],"report":[38,175],"texts":[39],"by":[40,156],"accessing":[41],"only":[42],"their":[43,77],"impression":[44],"section.":[45],"We":[46,58],"build":[47],"models":[48,54],"based":[49],"on":[50,95,161,177,190],"pre-trained":[51],"large":[52,179],"language":[53],"parameter-efficient":[56],"fine-tuning.":[57],"compare":[59],"model":[60,130],"performances":[61],"between":[62,86],"utilizing":[63],"reports":[65,67,127],"following":[68],"institutional-level":[69],"templates.":[70],"By":[71],"incorporating":[72,147],"patient":[73],"historical":[74],"data":[75,96],"timeline":[78],"into":[79],"the":[80,84,151,186],"model,":[81],"bridge":[83],"gap":[85],"structured":[87],"reports.":[90],"Our":[91,120,168],"experiments":[92],"are":[93],"conducted":[94],"gathered":[97],"at":[98],"Memorial":[99],"Sloan":[100],"Kettering":[101],"Cancer":[102],"Center":[103],"(MSKCC)":[104],"which":[105],"have":[106],"been":[107],"annotated":[108],"presence":[111],"three":[113],"organs:":[114],"liver,":[115],"lung,":[116],"adrenal":[118,164],"glands.":[119],"results":[121],"suggest":[122],"that":[123],"access":[124],"previous":[126],"significantly":[128],"improves":[129],"performance,":[131],"an":[133,182],"average":[134],"improvement":[135],"7.7":[137],"points":[138,160],"terms":[140],"F1-score":[142],"over":[143],"all":[144],"datasets.":[145],"Additionally,":[146],"temporal":[148],"information":[149],"enhances":[150],"accuracy":[152],"metastasis":[154],"detection":[155],"0.4":[157],"1.1":[159],"liver":[162],"glands":[165],"data,":[166],"respectively.":[167],"shows":[170],"potential":[171,187],"automating":[173],"labeling":[176],"scale":[180],"efficient":[183],"manner,":[184],"deploy":[189],"low-cost":[191],"hardware.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
