Performance of an AI-based cancer diagnosis system in France’s largest network of pathology institutes

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Poster Presentation: European Congress of Pathology 2019
Study Objective: To assess the performance of Ibex’s algorithm on benign cases from 4 labs within the network, and to detect and characterize missed cancer cases

Conclusions:

  1. The Ibex algorithm for detecting prostate cancer is extremely accurate, and it can identify additional features that are clinically important, such as high-grade PIN, atrophy and inflammation
  2. Prostate cancer, typically low-grade  tumors, might be missed by pathologists. High-grade tumors are also misdiagnosed, especially when they are small and appear in a single slide
  3. Pathology institutes can utilize AI-based systems to increase the accuracy,  efficiency and turnaround time of the diagnostic process

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About IBEX

IBEX is the leader in AI-powered cancer diagnostics in pathology. We empower physicians to provide every patient with an accurate, timely and personalized cancer diagnosis. Our AI platform is deployed worldwide, supporting pathologists and providers with AI-insights that help improve the quality and accuracy of diagnosis, reduce turnaround times and boost productivity.

By providing my details I agree to the IBEX-AI Terms and conditions and Privacy policy. I also agree to receive emails form IBEX-AI and I understand that I may opt out of IBEX-AI subscriptions at any time.

About IBEX

IBEX is the leader in AI-powered cancer diagnostics in pathology. We empower physicians to provide every patient with an accurate, timely and personalized cancer diagnosis. Our AI platform is deployed worldwide, supporting pathologists and providers with AI-insights that help improve the quality and accuracy of diagnosis, reduce turnaround times and boost productivity.

By providing my details I agree to the IBEX-AI Terms and conditions and Privacy policy. I also agree to receive emails form IBEX-AI and I understand that I may opt out of IBEX-AI subscriptions at any time.

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