Deep Learning-Based Blood Abnormalities Detection as a Tool for VEXAS Syndrome Screening.
Cédric De Almeida BragaMaxence BauvaisPierre SujobertMael HeibligMaxime JullienBaptiste Le CalvezCamille RichardValentin Le Roc'hEmmanuelle RaultOlivier HéraultPierre PeterlinAlice GarnierPatrice ChevallierSimon BouzyYannick Le BrisAntoine NéelJulie GraveleauOlivier KosmiderPerrine Paul-GilloteauxNicolas NormandMarion EveillardPublished in: International journal of laboratory hematology (2024)
This study suggests that computer-assisted analysis of PB smears, focusing on suspected VEXAS cases, can provide valuable insights for determining which patients should undergo molecular testing. The presented deep learning approach can help hematologists direct their suspicions before initiating further analyses.