Ibex is an AI-powered digital pathology platform that assists pathologists in diagnosing cancer and other clinically relevant features in tissue samples. The platform comprises specialized solutions for breast, gastric, and prostate cancers, each designed to detect malignancies, grade tumors, and identify features such as perineural invasion. Built on deep learning technology and trained on datasets from over 10 million annotated slides, Ibex delivers clinically-proven accuracy comparable to expert consensus. It serves as a second-read aid, enhancing diagnostic confidence, reducing errors, and streamlining pathology workflows. The platform is deployed in clinical settings worldwide, with multiple real-world studies validating its performance across tissue types and healthcare systems.
Key Benefits
- Detects cancer and over one hundred other diagnostic features in multiple tissue types
- Clinically proven accuracy with near-perfect concordance in validation studies
- Enhances pathologist efficiency and provides a second-read quality control
- Trained on rich datasets from over 10 million slides across multiple institutes