Season 2, Episode 13
AI & Supervised vs. Unsupervised Learning
This episode's guest:
Hamid Tizhoosh, PhD
This episode of Digital Pathology Today™ our guest is Hamid Tizhoosh, PhD, KIMIA Lab, University of Waterloo
We welcome back Professor Hamid Tizhoosh from KIMIA Lab and now of the Mayo Clinic. Dr. Tizhoosh was one of our most popular guests from last season. We talked about artificial intelligence, but it seems like we barely scratched the surface.
AI is such a hot topic - so before we go any further, we’ll go back to a rough definition of Artificial Intelligence. In Machine learning a theme we keep hearing about is supervised vs. unsupervised learning. What does that mean and why is it important? The concept of validation is critically important in pathology and laboratory medicine. What does this mean in the context of Artificial intelligence? What is image archiving? And how does image search work? We discuss the difference between tissue representation and patient representation and why this distinction will be critical for the future of digital pathology and moving precision medicine forward.
More About Hamid Tizhoosh
Hamid Tizhoosh, PhD, KIMIA Lab, Mayo Clinic
Hamid R. Tizhoosh is a Professor at Mayo Clinc. He was previuosly Profesor in the Faculty of Engineering at the University of Waterloo since 2001, leading the KIMIA Lab (Laboratory for Knowledge Inference in Medical Image Analysis). KIMIA Lab researchers investigate the use of artificial intelligence methods for searching in large archives of medical images. Since 1993, Dr. Tizhoosh's research activities encompass artificial intelligence, computer vision, and medical imaging. He has developed algorithms for medical image filtering, segmentation, and search. He is the author of two books, 14 book chapters, and more than 150 journal and conference papers. Dr. Tizhoosh has long-standing extensive industrial activities and has worked with numerous companies. He is also a Faculty Affiliate to the Vector Institute, Toronto, Canada, and a memebr of the Waterloo AI Institute, University of Waterloo, Canada.