This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.
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:
- 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
- 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
- Pathology institutes can utilize AI-based systems to increase the accuracy, efficiency and turnaround time of the diagnostic process
