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Case Study: The Implementation of AI-enabled Pathology in Clinical Practice

Computational pathology and AI are here today and in practice worldwide. Commercial laboratories and health systems who have transitioned to digital pathology now have access to a range of applications that can increase speed and efficiency, reduce subjective diagnosis, and help deliver better service. The key to gaining the most value from computational pathology is total interoperability between your digital pathology software platform and AI applications.
Alexi Baidoshvili, MD, PhD, Professor, anatomic pathologist, specialized in digital and computational pathology, from LabPON, and Arun Ananth, Chief Commercial Officer from Proscia, will share insights from a Case Study for digital and computational pathology, along with results from testing the interoperability of the Concentriq® Dx and IBEX GalenTM Platform.

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February 28

Webinar: Can AI Grand-Challenges inform Regulatory Science in Anatomic Pathology?

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March 2

Pre-Analytics Meeting