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2023 ACR/EULAR antiphospholipid syndrome classification criteria.

Medha BarbhaiyaStéphane ZuilyRay NadenAlison HendryFlorian MannevilleMary-Carmen AmigoZahir AmouraDanieli Castro de Oliveira AndradeLaura AndreoliBahar Artim-EsenTatsuya AtsumiTadej AvcinH Michael BelmontMaria Laura BertolacciniD Ware BranchGraziela CarvalheirasAlessandro CasiniRicard CerveraHannah CohenNathalie Costedoat-ChalumeauMark CrowtherGuilherme Ribeiro Ramires de JésusAurelien DellucSheetal DesaiMaria De SanchoKatrien M DevreeseReyhan Diz-KucukkayaAli Duarte GarciaCamille FrancesDavid GarciaJean-Christophe GrisNatasha JordanRebecca K LeafNina KelloChristian LoodCarl LaskinAlfred I LeeKimberly LegaultSteve R LevineRoger Abramino LevyMaarten LimperMichael D LockshinKaroline Mayer-PickelJack MusialPier Luigi MeroniGiovanni OrsoliniThomas L OrtelVittorio PengoMichelle A PetriGuillermo J Pons-EstelJose A Gomez-PuertaQuentin RaimbougRobert RoubeyGiovanni SannaSurya V SeshanSavinio SciasciaMaria G G TektonidouAngela TincaniDenis WahlRohan WillisCécile YelnikCatherine ZuilyFrancis GuilleminKaren H CostenbaderDoruk Erkannull null
Published in: Annals of the rheumatic diseases (2023)
These new ACR/EULAR APS classification criteria were developed using rigorous methodology with multidisciplinary international input. Hierarchically clustered, weighted, and risk-stratified criteria reflect the current thinking about APS, providing high specificity and a strong foundation for future APS research.
Keyphrases
  • machine learning
  • deep learning
  • magnetic resonance
  • current status
  • magnetic resonance imaging
  • network analysis