Season 2, Episode 13 - Hamid Tizhoosh, PhD - AI and Supervised vs. Unsupervised Learning - podcast episode cover

Season 2, Episode 13 - Hamid Tizhoosh, PhD - AI and Supervised vs. Unsupervised Learning

Jan 06, 202247 min
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Episode description

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.
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Season 2, Episode 13 - Hamid Tizhoosh, PhD - AI and Supervised vs. Unsupervised Learning | Digital-Pathology-Today podcast - Listen or read transcript on Metacast