Abstract
The morphological examination of blood cells under manual microscopes is a classic method, but the obvious shortcomings limit the extensive development of peripheral blood cell morphological examination. By using the manual microscope method, it is difficult to ensure the effective implementation of reviewing rules on blood cell analysis, fails to meet the needs of clinical diagnosis and treatment activities, and exposes the risk of missing diagnosis and early detection of some blood system diseases. Artificial Intelligence-assisted peripheral blood cell morphological examination is an important development direction in blood cell morphological examination and diagnosis. This article primarily introduces the characteristics and current application status of artificial intelligence-assisted blood cell morphological examination, as well as the functional requirements and expectations for future technological advancements. Furthermore, it provides an outlook on potential clinical and laboratory application scenarios.With the rapid development of artificial intelligence in blood cell morphology testing, the performance of automated blood cell morphology analysis systems will be greatly improved, which can fully meet the needs of clinical diagnosis, treatment, and health management.
Published Version
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