The Role of AI in Enhancing the Efficiency of Automated Blood Cell Counters
Abstract
Objective: To investigate the role of AI in enhancing the efficiency of automated blood-cell counters for identifying different pathologies and reducing human errors.
Materials and Methods: The data of this article is collected from various well-known academic data bases after careful analysis of mostly articles published in the last 5 years.
Results: AI incorporation into automated blood cell counters reduces manual work and the extra burden. The advanced image-analysis ability of these types of blood cell counters helps them to identify different types of morphological changes which helps in the early diagnosis of different types of leukemia and other blood cancers.
Conclusion: Integrating AI into blood cell counts plays a significant role in diagnosis. These advancements are helpful for patients and laboratory professionals. Although there are some ethical challenges doexist in these advanced technologies. Continued innovations and validations are key components of the future of AI-based blood cell counts.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Journal of Haematology and Stem Cell Research
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The licensor permits others to copy, distribute, display, and perform the work, as well as make and distribute derivative works based on it. The licensor permits others to copy, distribute, display, and perform the work for non-commercial purposes only.
