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“Machine-learning based algorithms in digital pathology are particularly useful for the automatization of certain diagnostic steps like the quantification of hematopoietic cells in bone marrow aspirate smears.”
"Aiforia made it possible to analyze hundreds of whole slide images by separating stroma and epithelium and then counting target cells. Manually, the whole project might not have been possible."
Proscia is a software company accelerating pathology’s transition to a digital, data-driven discipline and enabling AI to advance precision medicine. Its Concentriq enterprise pathology platform, precision medicine AI portfolio, and …
Paige is committed to creating products that help pathologists make informed and efficient diagnoses. They build AI-based digital diagnostics delivered via an interoperable enterprise imaging platform that, together, are designed …
PathologyWatch delivers an intuitive and easy-to-implement digital pathology solution for dermatologists. Their technology coupled with top tier dermatopathologists can streamline your clinical workflow, interfaces with your EMR of choice, and …
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