About this webinar:
Pathologists are challenged to provide accurate and timely cancer diagnosis as the number of tests increases year-over-year. Digitizing pathology slides enables workflows and AI tools that can reduce diagnostic errors and improve efficiency. Open solution architecture and interoperability allow powerful deployments for digital and AI-powered computational pathology. Ibex uses artificial intelligence (AI) to develop clinical-grade solutions that extend beyond cancer detection and support pathologists with an array of clinically significant features.
This webinar presents the results of two studies – a clinical utility study and a multi site, blinded clinical validation study – of Ibex’s AI algorithm, performed on external datasets of prostate biopsies scanned with a Philips digital pathology slide scanner and analyzed by independent pathologists in the United States, France and Israel.