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


In this webinar, Alexi Baidoshvili, MD, PhD, Professor, anatomic pathologist from LabPON, and Arun Ananth, Chief Commercial Officer from Proscia, share insights from a recent Case Study for digital and computational pathology – including key results from testing the interoperability of Proscia’s Concentriq® Dx digital pathology software platform and the IBEX GalenTM Platform.

Key takeaways from this webinar include

  • The business case for digitization, and the benefits LabPON has gained by achieving 100% digital diagnosis for clinical cases.
  • How a seamless and intuitive AI-enabled workflow gives pathologists a complete view of an integrated worklist with prioritized results, case level summaries, slide level ROI, heatmaps and more.
  • The results from the study, which shows the impressive accuracy and applicability of AI in aiding diagnosis.
  • Important technology decisions and investments required to successfully integrate AI applications directly into routine pathology workflows.

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.


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Interested in learning more about digital pathology transformation with Proscia? Access additional resources here.