About the Talk:

The clinical laboratory is at the heart of medical diagnosis. The breadth and depth of pathology data is growing exponentially but there is much room for improvement in utilization of this data. This talk will cover the current state of pathology, tracing its evolution from analog practices to the integration of digital tools. It will explore the transformative potential of multimodal AI that bridges image and text data, showcasing how this innovative approach enhances data utilization and enables breakthroughs in the pathology laboratory.

The session will highlight the case for multimodal AI in pathology, discuss the retooling of laboratories to support AI adoption, and underscore the profound benefits for patients, care providers, and society. This event is designed for healthcare professionals, AI enthusiasts, and anyone curious about the intersection of technology and medicine. Attendees will gain valuable insights into how the synergy of AI and pathology is poised to revolutionize diagnostic processes and improve outcomes.

About the Speaker:

Dr. Rojansky is assistant professor and Co-Director for Pathology Informatics at Stanford University. She completed her MD/PhD at UCLA/Caltech and her residency and fellowship training at Stanford University with subspecialty training in hematopathology and molecular genetic pathology. She is a practicing pathologist and leader in the digital pathology transformation at Stanford. Her research spans image analysis and AI for improved medical diagnosis.