The landscape of diagnostic technology is undergoing a remarkable shift, driven by the adoption of machine learning. Traditionally, dynamic hematologic study has been a manual process, reliant on human assessment . Now, advanced AI systems are poised to streamline this technique, producing reliab

Novel techniques are appearing for assessing live hematology material with unprecedented detail. Particularly, AI-powered darkfield imaging offers innovative opportunities to detect slight changes in cellular morphology and flow in real-time. Computational intelligence interpret the extensive res

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