Application of artificial intelligence in laboratory hematology: Advances, challenges, and prospects

The diagnosis of hematological disorders is currently established from the combined results of different tests, including those assessing morphology (M), immunophenotype (I), cytogenetics (C), and molecular biology (M) (collectively known as the MICM classification). In this workflow, most of the re...

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Detalhes bibliográficos
Main Authors: Hongyan Liao, Feng Zhang, Fengyu Chen, Yifei Li, Yanrui Sun, Darcée D. Sloboda, Qin Zheng, Binwu Ying, Tony Hu
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2025-11-01
Colecção:Acta Pharmaceutica Sinica B
Assuntos:
Artificial intelligence
Machine learning
Deep learning
Laboratory hematology
Diagnosis
Prognosis
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2211383525003740
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