AI-aided bone marrow cell morphology analysis and diagnosis system is an innovation in hematological disease diagnosis. The system can generate digital smears by scanning traditional bone marrow aspirate smears and the AI cell recognition algorithm will locate and classify nucleated cells to assist diagnosis. All data from bone marrow smears will be stored as digital images. This system is a leading device in the area of bone marrow cell morphology analysis in the world.
Using digital image technology, traditional bone marrow smears are digitally scanned through a fully automated microscope scanning platform to achieve digitalization of smear storage and management, which is conducive to medical research, case storage, clinical research and diagnosis.
The automatic locating, labelling and classification of bone marrow cells in digital images have revolutionized the traditional workup of bone marrow cell manual differential counts under microscope, which reduces the subjectivity during bone marrow morphology examination and improves the consistency of diagnoses.
The system can run 24 hours and support continuous scanning of 27 slides, saving time and improving examination efficiency.
The AI service center generates an expert-level experience base through continuous deep learning of neural networks, and improves the clinical bone marrow cell morphology analysis and diagnosis performance through the interaction of learning databases and expert networks.
Automatically generate diagnostic opinions through the system, support clinical diagnosis, sufficiently reduce reporting time and improve clinical work efficiency.
Fully scan bone marrow aspirate smears. Locate and pre-classify nucleated cells in acquired bone marrow images and perform statistical analysis for diagnosis of hematological diseases.