Detection of dysplasia in peripheral blood: Proposal of an algorithm to detect myelodysplastic syndromes and chronic myelomonocytic leukemias on a high-speed technical platform using the Sysmex XN™ analyser.
Lakhdar BouricheLéa FusterHugo LaurentChristophe SolerSofiane BenhabibPublished in: International journal of laboratory hematology (2023)
We propose a flowchart using embedded artificial intelligence to help the cytologist in an optimized smear review and thus improve guidance to the clinician and the patients in the diagnosis process. This strategy permits a more comprehensive approach to MDS and CMML detection fitting with the new definition of CMML according to the recommendations of the World Health Organization (WHO) published in 2022.
Keyphrases
- artificial intelligence
- high speed
- machine learning
- peripheral blood
- deep learning
- big data
- end stage renal disease
- newly diagnosed
- ejection fraction
- loop mediated isothermal amplification
- atomic force microscopy
- label free
- real time pcr
- prognostic factors
- randomized controlled trial
- high resolution
- high throughput
- mycobacterium tuberculosis
- single cell
- quantum dots
- single molecule