Robustness assessment of an automated AI-based white blood cell morphometric analysis system using different smear preparation methods.

Mendamar Ravzanaadii Yuki HoriuchiYosuke IwasakiAkihiko MatsuzakiKimiko KaniyuJing BaiAya KonishiJun AndoMiki AndoYoko Tabe

Published in: International journal of laboratory hematology (2024)

The DLS demonstrated consistent performance in specificity and NPV for smears prepared by a system different from the recommended method. Our results suggest that applying an automated smear preparation system optimized for the DLS system may be important.

Keyphrases

pulmonary tuberculosis
molecularly imprinted
single cell
artificial intelligence
cell therapy
mycobacterium tuberculosis
structural basis
deep learning
data analysis