Automated hematology and radiology synergy in diagnosing anemia in children

Aim: This review aims to evaluate the role of automated hematology analyzers and radiological imaging techniques in the diagnosis and management of anemia in children, highlighting traditional and advanced parameters. Methods: A comprehensive literature review was conducted, focusing on automated hematological parameters such as hemoglobin, RBC indices, reticulocyte counts, and novel metrics from modern analyzers, alongside radiological assessments such as bone marrow imaging and organ evaluation. The quasi-morphological approach, reticulocyte kinetic analysis, and imaging technologies like digital imaging and artificial intelligence were examined. Results: Traditional parameters, including RDW and MCV, provide initial insights into anemia classification. Advanced metrics, such as reticulocyte hemoglobin content and immature reticulocyte fractions, improve iron status assessment and therapeutic response evaluation. Radiological imaging offers valuable insights into bone marrow activity and organ health, complementing hematological findings. The use of automated analyzers and imaging techniques demonstrates high reproducibility and rapid results, though challenges in standardization persist. Conclusion: Automated hematology analyzers and radiological imaging techniques significantly enhance the diagnostic landscape for pediatric anemia, yet clinical integration and ongoing refinement of reference ranges are essential. Future developments in technology and standardization may further elevate the efficacy of anemia management in children

Anemia · Intensive care medicine · Medical physics · Radiology · Artificial Intelligence in Healthcare and Education · Clinical Laboratory Practices and Quality Control · Digital Imaging for Blood Diseases · Medicine · Hematology · Internal Medicine