{"id":"https://openalex.org/W4416640551","doi":"https://doi.org/10.1016/j.procs.2025.10.270","title":"Towards Transparent Clinical NLP: Lightweight Justification Generation with Privacy Guarantees","display_name":"Towards Transparent Clinical NLP: Lightweight Justification Generation with Privacy Guarantees","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416640551","doi":"https://doi.org/10.1016/j.procs.2025.10.270"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2025.10.270","doi":"https://doi.org/10.1016/j.procs.2025.10.270","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.10.270","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2025.10.270","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060428683","display_name":"Nabila Khodeir","orcid":"https://orcid.org/0000-0002-4262-2014","observed_orcids":["https://orcid.org/0000-0002-4262-2014","https://orcid.org/0000-0002-6178-5820"]},"institutions":[{"id":"https://openalex.org/I4210094263","display_name":"Ministry of Higher Education and Scientific Research","ror":"https://ror.org/00k4cwq24","country_code":"EG","type":"government","lineage":["https://openalex.org/I4210094263"]},{"id":"https://openalex.org/I4210156128","display_name":"Electronics Research Institute","ror":"https://ror.org/0532wcf75","country_code":"EG","type":"facility","lineage":["https://openalex.org/I4210094263","https://openalex.org/I4210156128"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Nabila Khodeir","raw_affiliation_strings":["Electronics Research Institute, Ministry of Higher Education and Scientific Research, Cairo 12622, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics Research Institute, Ministry of Higher Education and Scientific Research, Cairo 12622, Egypt","institution_ids":["https://openalex.org/I4210094263","https://openalex.org/I4210156128"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054411950","display_name":"Mahmoud M. Nasreldin","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahmoud M. Nasreldin","raw_affiliation_strings":["CyberistInsight, Ottawa, ON K1S 1N4, Ottawa, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CyberistInsight, Ottawa, ON K1S 1N4, Ottawa, Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004461355","display_name":"Mohamed Rasslan","orcid":"https://orcid.org/0000-0001-7459-484X","observed_orcids":["https://orcid.org/0000-0001-7459-484X"]},"institutions":[{"id":"https://openalex.org/I4210088986","display_name":"National Telecommunication Regulatory Authority","ror":"https://ror.org/007mwgz28","country_code":"EG","type":"government","lineage":["https://openalex.org/I4210088986"]},{"id":"https://openalex.org/I4210094263","display_name":"Ministry of Higher Education and Scientific Research","ror":"https://ror.org/00k4cwq24","country_code":"EG","type":"government","lineage":["https://openalex.org/I4210094263"]},{"id":"https://openalex.org/I4210156128","display_name":"Electronics Research Institute","ror":"https://ror.org/0532wcf75","country_code":"EG","type":"facility","lineage":["https://openalex.org/I4210094263","https://openalex.org/I4210156128"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed Rasslan","raw_affiliation_strings":["Electronics Research Institute, Ministry of Higher Education and Scientific Research, Cairo 12622, Egypt","National Telecommunication Regulatory Authority, Giza 12577, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics Research Institute, Ministry of Higher Education and Scientific Research, Cairo 12622, Egypt","institution_ids":["https://openalex.org/I4210094263","https://openalex.org/I4210156128"]},{"raw_affiliation_string":"National Telecommunication Regulatory Authority, Giza 12577, Egypt","institution_ids":["https://openalex.org/I4210088986"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060428683"],"corresponding_institution_ids":["https://openalex.org/I4210094263","https://openalex.org/I4210156128"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"272","issue":null,"first_page":"700","last_page":"705"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.989300012588501,"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":0.989300012588501,"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":0.0034000000450760126,"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"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.0034000000450760126,"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/clinical-natural-language-processing","display_name":"clinical natural language processing","score":0.8450000286102295},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.7900000214576721},{"id":"https://openalex.org/keywords/patient-data-privacy","display_name":"patient data privacy","score":0.7580000162124634},{"id":"https://openalex.org/keywords/model-distillation","display_name":"model distillation","score":0.6690000295639038},{"id":"https://openalex.org/keywords/lightweight-transformer","display_name":"lightweight transformer","score":0.6669999957084656},{"id":"https://openalex.org/keywords/authenticated-encryption","display_name":"authenticated encryption","score":0.9610000252723694},{"id":"https://openalex.org/keywords/hipaa-compliance","display_name":"HIPAA compliance","score":0.765999972820282},{"id":"https://openalex.org/keywords/gdpr-compliance","display_name":"GDPR compliance","score":0.9789999723434448},{"id":"https://openalex.org/keywords/threat-modeling","display_name":"threat modeling","score":0.8960000276565552},{"id":"https://openalex.org/keywords/medical-texts","display_name":"medical texts","score":0.6549999713897705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8978999853134155},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6470000147819519},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.6194000244140625},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.578499972820282},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5522000193595886},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.5245000123977661},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.43050000071525574},{"id":"https://openalex.org/C2910417920","wikidata":"https://www.wikidata.org/wiki/Q4116434","display_name":"Patient privacy","level":3,"score":0.4108000099658966},{"id":"https://openalex.org/C509729295","wikidata":"https://www.wikidata.org/wiki/Q7246032","display_name":"Privacy software","level":3,"score":0.3310999870300293},{"id":"https://openalex.org/C175968658","wikidata":"https://www.wikidata.org/wiki/Q839447","display_name":"Privacy laws of the United States","level":3,"score":0.3183000087738037},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C203062551","wikidata":"https://www.wikidata.org/wiki/Q201339","display_name":"Public-key cryptography","level":3,"score":0.2761000096797943},{"id":"https://openalex.org/C193934123","wikidata":"https://www.wikidata.org/wiki/Q7246028","display_name":"Privacy by Design","level":3,"score":0.26179999113082886}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2025.10.270","doi":"https://doi.org/10.1016/j.procs.2025.10.270","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.10.270","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2025.10.270","doi":"https://doi.org/10.1016/j.procs.2025.10.270","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.10.270","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8048999905586243,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2031533839","https://openalex.org/W2254160488","https://openalex.org/W2473418344","https://openalex.org/W2610332124","https://openalex.org/W2727655671","https://openalex.org/W2915352631","https://openalex.org/W2978017171","https://openalex.org/W4375944569","https://openalex.org/W4402684318","https://openalex.org/W4404187078"],"related_works":["https://openalex.org/W4411361658","https://openalex.org/W7211915519","https://openalex.org/W7161629345","https://openalex.org/W7131436769","https://openalex.org/W7169578147","https://openalex.org/W7204240343","https://openalex.org/W7150225595","https://openalex.org/W7154743357","https://openalex.org/W7118011119","https://openalex.org/W7113096017"],"abstract_inverted_index":{"In":[0,31],"modern":[1],"healthcare,":[2],"artificial":[3],"intelligence":[4],"has":[5],"become":[6],"a":[7,36,61],"key":[8],"player":[9],"in":[10,122],"improving":[11],"diagnostic":[12],"accuracy":[13],"and":[14,29,65,76,96,98,105,111,118],"clinical":[15,49,124],"efficiency.":[16],"However,":[17],"its":[18,100],"integration":[19],"must":[20],"be":[21],"responsible\u2014balancing":[22],"innovation":[23],"with":[24],"patients\u2019":[25],"right":[26],"to":[27,79],"privacy":[28,92,119],"transparency.":[30],"this":[32],"work,":[33],"we":[34,114],"introduce":[35],"lightweight":[37],"but":[38,51],"secure":[39],"natural":[40],"language":[41],"processing":[42],"(NLP)":[43],"framework":[44],"that":[45],"not":[46],"only":[47],"explains":[48],"decisions":[50],"also":[52],"ensures":[53],"the":[54],"safety":[55],"of":[56],"patient":[57],"data.":[58],"Built":[59],"on":[60,102],"distilled":[62],"transformer":[63],"architecture":[64],"supported":[66],"by":[67],"ChatGPT-based":[68],"rationale":[69],"generation,":[70],"our":[71,89],"system":[72,90],"includes":[73],"authenticated":[74],"encryption":[75],"fine-tuned":[77],"models":[78],"deliver":[80],"aspect-level":[81],"justifications":[82],"for":[83],"medical":[84],"text.":[85],"We":[86],"rigorously":[87],"evaluate":[88],"against":[91],"frameworks":[93],"like":[94],"HIPAA":[95],"GDPR":[97],"demonstrate":[99],"utility":[101],"both":[103],"synthetic":[104],"real-world":[106],"datasets.":[107],"Through":[108],"performance":[109],"analysis":[110],"threat":[112],"modeling,":[113],"show":[115],"how":[116],"explainability":[117],"can":[120],"coexist":[121],"practical":[123],"settings.":[125]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2025-11-25T00:00:00"}
