{"id":"https://openalex.org/W7140237410","doi":"https://doi.org/10.1016/j.procs.2026.03.129","title":"A Dual Machine Learning Framework for Automated ASPECTS Scoring and Treatment Eligibility in Acute Ischemic Stroke","display_name":"A Dual Machine Learning Framework for Automated ASPECTS Scoring and Treatment Eligibility in Acute Ischemic Stroke","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140237410","doi":"https://doi.org/10.1016/j.procs.2026.03.129"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2026.03.129","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.03.129","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,"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"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2026.03.129","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Rayhane Ben Amor","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rayhane Ben Amor","raw_affiliation_strings":["Laboratory of Biophysics and Medical Technology, Higher Institute of Medical Technology of Tunis, University of Tunis El Manar, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Biophysics and Medical Technology, Higher Institute of Medical Technology of Tunis, University of Tunis El Manar, Tunisia","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ines Ben Alaya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ines Ben Alaya","raw_affiliation_strings":["Laboratory of Biophysics and Medical Technology, Higher Institute of Medical Technology of Tunis, University of Tunis El Manar, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Biophysics and Medical Technology, Higher Institute of Medical Technology of Tunis, University of Tunis El Manar, Tunisia","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wanis Barreh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wanis Barreh","raw_affiliation_strings":["Laboratory of Biophysics and Medical Technology, Higher Institute of Medical Technology of Tunis, University of Tunis El Manar, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Biophysics and Medical Technology, Higher Institute of Medical Technology of Tunis, University of Tunis El Manar, Tunisia","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fethi Felhi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fethi Felhi","raw_affiliation_strings":["Department of Radiology, Military Hospital of Tunis, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Military Hospital of Tunis, Tunisia","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Salam Labidi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Salam Labidi","raw_affiliation_strings":["Laboratory of Biophysics and Medical Technology, Higher Institute of Medical Technology of Tunis, University of Tunis El Manar, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Biophysics and Medical Technology, Higher Institute of Medical Technology of Tunis, University of Tunis El Manar, Tunisia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"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":0.63536037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"278","issue":null,"first_page":"1435","last_page":"1443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10227","display_name":"Acute Ischemic Stroke Management","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10227","display_name":"Acute Ischemic Stroke Management","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T11763","display_name":"Intracerebral and Subarachnoid Hemorrhage Research","score":0.002899999963119626,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.0027000000700354576,"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/generalizability-theory","display_name":"Generalizability theory","score":0.887499988079071},{"id":"https://openalex.org/keywords/thrombolysis","display_name":"Thrombolysis","score":0.5911999940872192},{"id":"https://openalex.org/keywords/stroke","display_name":"Stroke (engine)","score":0.4975000023841858},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45410001277923584},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43380001187324524},{"id":"https://openalex.org/keywords/revascularization","display_name":"Revascularization","score":0.4115999937057495},{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.40689998865127563},{"id":"https://openalex.org/keywords/acute-stroke","display_name":"Acute stroke","score":0.3856000006198883}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.887499988079071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6284000277519226},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6154000163078308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6136000156402588},{"id":"https://openalex.org/C2779581417","wikidata":"https://www.wikidata.org/wiki/Q1931577","display_name":"Thrombolysis","level":3,"score":0.5911999940872192},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.4975000023841858},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4927999973297119},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45410001277923584},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43380001187324524},{"id":"https://openalex.org/C2779464278","wikidata":"https://www.wikidata.org/wiki/Q7317735","display_name":"Revascularization","level":3,"score":0.4115999937057495},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.40689998865127563},{"id":"https://openalex.org/C3020166492","wikidata":"https://www.wikidata.org/wiki/Q12202","display_name":"Acute stroke","level":3,"score":0.3856000006198883},{"id":"https://openalex.org/C3020199598","wikidata":"https://www.wikidata.org/wiki/Q12202","display_name":"Ischemic stroke","level":3,"score":0.3653999865055084},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.32499998807907104},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C2775841333","wikidata":"https://www.wikidata.org/wiki/Q498179","display_name":"Middle cerebral artery","level":3,"score":0.2939999997615814},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.27970001101493835},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C2909817843","wikidata":"https://www.wikidata.org/wiki/Q575222","display_name":"Fibrinolytic agent","level":3,"score":0.26350000500679016},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2026.03.129","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.03.129","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,"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.2026.03.129","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.03.129","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,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2121300729","https://openalex.org/W2148656951","https://openalex.org/W2592929672","https://openalex.org/W2613693561","https://openalex.org/W2731899572","https://openalex.org/W3202193911","https://openalex.org/W4205679663","https://openalex.org/W4377097141","https://openalex.org/W4403611770"],"related_works":[],"abstract_inverted_index":{"The":[0,136],"Alberta":[1],"Stroke":[2,133],"Program":[3],"Early":[4],"CT":[5,123],"Score":[6],"(ASPECTS)":[7],"is":[8],"a":[9,32,74,116],"standardized":[10],"method":[11],"to":[12,88],"assess":[13],"early":[14],"ischemic":[15,55],"changes":[16],"in":[17,35,144],"the":[18,52,83,95,106,126,160,172,175,192],"middle":[19],"cerebral":[20],"artery":[21],"(MCA)":[22],"territory":[23],"on":[24,51,68,115,181],"Non-contrast":[25],"computed":[26],"tomography":[27],"(NCCT)":[28],"scans.":[29],"It":[30],"plays":[31],"critical":[33],"role":[34],"acute":[36],"stroke":[37],"management":[38],"by":[39],"guiding":[40],"clinicians":[41],"identify":[42],"candidates":[43],"for":[44,91,150],"intravenous":[45],"thrombolysis":[46],"or":[47],"mechanical":[48],"thrombectomy":[49],"based":[50],"extent":[53],"of":[54,118,156,168,174,184],"damage.":[56],"However,":[57,159],"manual":[58],"ASPECTS":[59,101,107],"evaluation":[60],"suffers":[61],"from":[62,125],"inter-observer":[63],"variability":[64],"and":[65,99,103,113,147,153,166,190,198],"depends":[66],"heavily":[67],"clinician":[69],"experience.":[70],"This":[71],"study":[72],"proposes":[73],"machine":[75],"learning-based":[76],"approach":[77,137],"using":[78,187],"two":[79],"complementary":[80],"models":[81,110],":":[82],"first":[84],"classifies":[85],"patients":[86],"according":[87],"their":[89],"eligibility":[90],"revascularization":[92],"treatments,":[93],"while":[94],"second":[96],"identifies":[97],"affected":[98,152],"unaffected":[100,154],"regions":[102,155],"automatically":[104],"estimates":[105],"score.":[108],"Both":[109],"were":[111],"trained":[112],"evaluated":[114],"dataset":[117,130],"40":[119],"patients,":[120],"with":[121,141],"annotated":[122],"slices":[124],"publicly":[127],"available":[128],"AISD":[129],"(Acute":[131],"Ischemic":[132],"Dataset,":[134],"N=397).":[135],"achieved":[138],"promising":[139],"performance,":[140],"93,33%":[142],"accuracy":[143,149],"patient":[145],"classification,":[146],"93%":[148],"detecting":[151],"interest":[157,185],"(ROIs).":[158],"small":[161],"sample":[162],"size":[163],"(40":[164],"patients)":[165],"lack":[167],"external":[169],"validation":[170],"limit":[171],"generalizability":[173,194],"findings.":[176],"Future":[177],"work":[178],"will":[179],"focus":[180],"automating":[182],"region":[183],"segmentation":[186],"deep":[188],"learning":[189],"improving":[191],"models\u2019":[193],"across":[195],"diverse":[196],"datasets":[197],"clinical":[199],"environments.":[200]},"counts_by_year":[],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2026-03-25T00:00:00"}