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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:
- 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
