Exploring the performance of an artificial intelligence- and morphology-driven workflow integrating 4 platelet enumeration technologies.

Fiche publication

Date publication

juin 2025

Journal

American journal of clinical pathology

Auteurs

Membres identifiés du Cancéropôle Est :
Pr MAYNADIE Marc

Tous les auteurs :
Guy J, Béné MC, Simon Lopez R, Maynadié M, Row C

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/40493735

Résumé

Platelet count, one of the main parameters of the complete blood count, requires accurate evaluation to guide patient management. It can be hampered by EDTA-induced pseudo-thrombocytopenia (PTCP), microcytic red blood cells (RBCs), RBC fragments, or giant platelets. A new set of 4 methods from the Mindray CAL-8000 platform, applicable on a single sample for platelet count, was evaluated.