{"id":"https://openalex.org/W4412887840","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1103","title":"Natural Language Processing in Support of Evidence-based Medicine: A Scoping Review","display_name":"Natural Language Processing in Support of Evidence-based Medicine: A Scoping Review","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412887840","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1103","pmid":"https://pubmed.ncbi.nlm.nih.gov/41328283"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.1103","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1103","pdf_url":"https://aclanthology.org/2025.findings-acl.1103.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.1103.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021399686","display_name":"Zihan Xu","orcid":"https://orcid.org/0000-0002-5632-0439"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]},{"id":"https://openalex.org/I4387153466","display_name":"Weill Cornell Medicine","ror":"https://ror.org/02r109517","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295","https://openalex.org/I4387153466"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zihan Xu","raw_affiliation_strings":["Weill Cornell Medicine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Weill Cornell Medicine","institution_ids":["https://openalex.org/I205783295","https://openalex.org/I4387153466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103042414","display_name":"Haotian Ma","orcid":"https://orcid.org/0000-0003-2114-5586"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]},{"id":"https://openalex.org/I4387153466","display_name":"Weill Cornell Medicine","ror":"https://ror.org/02r109517","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295","https://openalex.org/I4387153466"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haotian Ma","raw_affiliation_strings":["Weill Cornell Medicine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Weill Cornell Medicine","institution_ids":["https://openalex.org/I205783295","https://openalex.org/I4387153466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091859975","display_name":"Yihao Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Yihao Ding","raw_affiliation_strings":["University of Sydney","Columbia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005232556","display_name":"Gongbo Zhang","orcid":"https://orcid.org/0009-0001-0077-3615"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Gongbo Zhang","raw_affiliation_strings":["Columbia University","University of Sydney"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"University of Sydney","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009604048","display_name":"Chunhua Weng","orcid":"https://orcid.org/0000-0002-9624-0214"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chunhua Weng","raw_affiliation_strings":["Columbia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085113833","display_name":"Yifan Peng","orcid":"https://orcid.org/0000-0001-9309-8331"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]},{"id":"https://openalex.org/I4387153466","display_name":"Weill Cornell Medicine","ror":"https://ror.org/02r109517","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295","https://openalex.org/I4387153466"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifan Peng","raw_affiliation_strings":["Weill Cornell Medicine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Weill Cornell Medicine","institution_ids":["https://openalex.org/I205783295","https://openalex.org/I4387153466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2025","issue":null,"first_page":"21421","last_page":"21443"},"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":0.49000000953674316,"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":0.49000000953674316,"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/computer-science","display_name":"Computer science","score":0.6869544386863708},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.5779520273208618},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5161501169204712},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.49325674772262573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33575230836868286},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.0996655523777008}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6869544386863708},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.5779520273208618},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5161501169204712},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.49325674772262573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33575230836868286},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0996655523777008},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.1103","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1103","pdf_url":"https://aclanthology.org/2025.findings-acl.1103.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},{"id":"pmid:41328283","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41328283","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of ACL. ACL","raw_type":null}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.1103","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1103","pdf_url":"https://aclanthology.org/2025.findings-acl.1103.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2323698081","display_name":null,"funder_award_id":"R01 LM014573","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G4713501941","display_name":null,"funder_award_id":"R01LM014344","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G6103499496","display_name":null,"funder_award_id":"R01 LM014344","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G7888995200","display_name":null,"funder_award_id":"R01LM014573","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G8216863752","display_name":null,"funder_award_id":"R01 LM014306","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"}],"funders":[{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412887840.pdf","grobid_xml":"https://content.openalex.org/works/W4412887840.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W3204019825","https://openalex.org/W4226226396","https://openalex.org/W3153750606","https://openalex.org/W4308854837"],"abstract_inverted_index":{"Evidence-based":[0],"medicine":[1],"(EBM)":[2],"is":[3,41],"at":[4],"the":[5,11,14,25,35,93,114,124],"forefront":[6],"of":[7,13,31,38,68,97],"modern":[8],"healthcare,":[9],"emphasizing":[10,123],"use":[12],"best":[15],"available":[16],"scientific":[17],"evidence":[18,59,133,135],"to":[19,24,45,52,128],"guide":[20],"clinical":[21,83,147],"decisions.":[22],"Due":[23],"sheer":[26],"volume":[27],"and":[28,34,57,104,142],"rapid":[29],"growth":[30],"medical":[32],"literature":[33],"high":[36],"cost":[37],"curation,":[39],"there":[40],"a":[42,144],"critical":[43],"need":[44],"investigate":[46],"Natural":[47],"Language":[48],"Processing":[49],"(NLP)":[50],"methods":[51],"identify,":[53],"appraise,":[54],"synthesize,":[55],"summarize,":[56],"disseminate":[58],"in":[60,81],"EBM.":[61],"This":[62],"survey":[63],"presents":[64],"an":[65],"in-depth":[66],"review":[67,107],"129":[69],"research":[70],"studies":[71],"on":[72],"leveraging":[73],"NLP":[74,91,127],"for":[75,120,126],"EBM,":[76],"illustrating":[77],"its":[78],"pivotal":[79],"role":[80],"enhancing":[82,139],"decision-making":[84],"processes.":[85],"The":[86,106],"paper":[87],"systematically":[88],"explores":[89],"how":[90],"supports":[92],"five":[94],"fundamental":[95],"steps":[96],"EBM":[98,130],"-":[99],"Ask,":[100],"Acquire,":[101],"Appraise,":[102],"Apply,":[103],"Assess.":[105],"not":[108],"only":[109],"identifies":[110],"current":[111],"limitations":[112],"within":[113],"field":[115],"but":[116],"also":[117],"proposes":[118],"directions":[119],"future":[121],"research,":[122],"potential":[125],"revolutionize":[129],"by":[131],"refining":[132],"extraction,":[134],"synthesis,":[136],"appraisal,":[137],"summarization,":[138],"data":[140],"comprehensibility,":[141],"facilitating":[143],"more":[145],"efficient":[146],"workflow.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
