Studies to Be Presented at the United States and Canadian Academy of Pathology (USCAP) Annual Meeting
Cancer incidence is rising around the world while its diagnosis becomes more complex and nuanced in an era of precision medicine, in which accurate diagnosis is key for enabling personalized and tailored therapies. Increasing demand and diagnostic workloads are compounded by a global shortage of pathologists who still rely heavily on manual work requiring visual analysis of biopsies. Ibex's Galen™ platform helps overcome these challenges with Artificial Intelligence (AI)-powered workflows and decision-support tools that pathologists use in their everyday practice. "Microinvasive carcinoma is challenging and time-consuming to identify, and is often subject to overdiagnosis and underdiagnosis, adversely affecting treatment decisions. Therefore, Galen Breast's accuracy in detecting and classifying these minute tumors is a vital step forward in enhancing diagnostic confidence and providing oncologists with a comprehensive pathology diagnosis," said Stuart Schnitt, MD, Chief of Breast Oncologic Pathology at the Dana-Farber/Brigham Cancer Center, and an investigator in the study. In another study conducted at UPMC, researchers assessed Galen Prostate's performance in primary diagnosis of prostate biopsies. The study found the AI-powered solution was highly accurate in identifying and grading cancer in a live clinical setting, with NPV and PPV of 0.991. The study also demonstrated positive feedback from participating pathologists, showing high satisfaction, particularly with Galen Prostate's Gleason scoring, detection of perineural invasion and automated measurement of tissue and tumor length. "Galen offers an unparalleled breadth of detection capabilities going well beyond cancer and becoming an integral part of everyday clinical practice in laboratories, hospitals and health systems globally," said Dr. Chaim Linhart, Chief Technology Officer and Co-Founder of Ibex Medical Analytics. "With these outstanding outcomes achieved in leading US healthcare institutions across various tissue types, amplified by very positive user feedback, our technology continues to set the standard for AI solutions in pathology, helping clinicians improve patient outcomes." Ibex will be showcasing these findings at the USCAP Annual Meeting taking place in Baltimore, Maryland, between March 23 to 28, at booth number 755. About Ibex Medical Analytics
Ibex Medical Analytics (Ibex) is transforming cancer diagnostics with world-leading clinical grade AI-powered solutions for pathology. Empowering physicians and supporting pathologists, Ibex is on a mission to provide accurate, timely and personalized cancer diagnosis for every patient. Ibex's Galen™ is the first and most widely deployed AI-powered platform in pathology and demonstrated outstanding outcomes in multiple clinical studies2,3,4,5,6. Pathologists worldwide use Galen as part of their everyday routine practice to improve the accuracy of cancer diagnosis, implement comprehensive quality control measures, reduce turnaround times and boost productivity with more efficient workflows. For additional company information, please visit https://ibex-ai.com/ and follow us on LinkedIn and X. The Galen™ platform includes solutions which are for Research Use Only (RUO) in the United States and not cleared by the FDA. Multiple Galen solutions are CE marked (IVDD and IVDR) and registered with the UK MHRA. For more information, including indication for use and regulatory approval in other countries, contact Ibex Medical Analytics.
[1] NPV and PPV are statistical terms which define the precision of a diagnostic test in detecting a relevant feature.
[2] Sandbank et al., Validation and real-world clinical application of an artificial intelligence algorithm for breast cancer detection in biopsies, npj Breast Cancer, December 2022 [3] Pantanowitz et al., An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study, THE LANCET Digital Health Aug 2020 [4] Rodriguez-Justo et al., Multi-Site Multi Reader Study on Artificial Intelligence-Assisted Primary Diagnosis
of Gastric Biopsies, Virchows Arch (2023) 483 (Suppl 1): S1
[5] Comperat et al., Clinical Level AI-Based Solution for Primary Diagnosis and Reporting of Prostate Biopsies in Routine Use: A Prospective Reader Study, European Congress of Pathology 2021
[6] Raoux et al., Novel AI-Based Solution for Supporting Primary Diagnosis of Prostate Cancer Increases the Accuracy and Efficiency of Reporting in Clinical Routine, USCAP 2021 SOURCE Ibex Medical Analytics