Leo Grady, CEO Paige.AI - CMIC-WEISS seminar series

Leo Grady, CEO of Paige.AI

Title:

Changing the Paradigm of Pathology: AI and Computational Diagnostics

Abstract:

The foundation of tumor diagnosis and treatment is ultimately derived from the removal of patient tissue and the cutting, staining and testing of that tissue - Pathology.  Unfortunately, the workload on pathologists is increasing while the number of pathologists is dropping, creating a challenge of increased likelihood of catastrophic mistakes and increased costs.  We can meet this challenge with a digital transformation in pathology powered by modern AI technology to improve diagnostic accuracy and lower costs.  To drive this transformation, we have built the first ever clinical-grade AI in pathology, demonstrating near-perfect diagnostic accuracy in prostate, breast and skin cancer.  In this hands of professional pathologists, studies show that this AI technology allows the pathologists to create significantly more accurate diagnoses at much lower cost.  A further advantage of the digital transformation in pathology is the emergence of new, computational diagnostic tests and biomarkers that can leverage the vast amounts of previously unscanned, dark data to drive new insights into the diagnosis and most effective treatment of patients and replace existing expensive and destructive tests.  In this talk I will address the challenges in pathology, the technology we have built so far and the transformative opportunities to change this foundational discipline of medicine.

Bio:

Dr. Grady is the CEO of Paige and has over 15 years of experience creating advanced medical imaging and AI-based software. Prior to joining Paige, he worked at HeartFlow building and launching the first cardiovascular product to noninvasively compute in vivo coronary blood flow and at Siemens in the Corporate Research division. In these roles he created and led the development, regulatory clearance and launch of innovative software products to extract complex information from a wide variety of medical imaging modalities, with a particular focus on cardiovascular and oncology applications.  He is internationally recognized for his work on advanced algorithms for medical imaging, image segmentation, graph theory, computer vision and machine learning. Dr. Grady is a Fellow of the American Institute of Medical and Biomedical Engineers who has published two books, over 100 peer-reviewed journal and conference papers and has over 300 issued or pending patents worldwide.