Prostate cancer

Researchers in Pittsburgh, Tel Aviv and Johannesburg report they have developed “An accurate, robust, and validated AI-based algorithm to detect, grade, and automatically impart clinically relevant diagnostic parameters regarding prostate adenocarcinoma offers an important tool for computer-assisted diagnosis in routine pathology practice. Demonstration of the technical feasibility for deploying such an AI-based system in the routine clinical workflow of a pathology laboratory elevates existing discussion of AI-based tools in pathology to a practical level, revealing how computational pathology can lead to improved efficiency, accuracy, consistent diagnoses, and better patient management.”  MORE

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