Listen "SEASON 2, EPISODE 30 - Angelique Levi, MD and Sudhir Perincheri, MBBS, PhD - The Robustness and Suitability of AI Algorithms for Clinical Practice"
Episode Synopsis
They're coming - AI and machine learning algorithms in digital pathology.
How do we go about assessing the robustness and suitability of these new tool for use in actual clinical practice?
Our guests are Dr. Angelique Levi, Associate Professor of Pathology and Vice Chair and Director of Pathology Outreach Services and Dr. Sudhir Perincheri, Assistant Professor of Pathology and Director of Digital Pathology, both from Yale School of Medicine.
We're talking about how new tools are going to be incorporated into clinical practice, and the impact of these new tools in various practice settings, such as academic medical centers, community outreach, and private practice. What does this mean for the training of the next generation of pathologists? We're only human, after all, but what about machine algorithms? What level of mistakes or "misses" is allowable? And what if these tools are too sensitive, could they actually slow us down and make life more complicated for us?
How do we go about assessing the robustness and suitability of these new tool for use in actual clinical practice?
Our guests are Dr. Angelique Levi, Associate Professor of Pathology and Vice Chair and Director of Pathology Outreach Services and Dr. Sudhir Perincheri, Assistant Professor of Pathology and Director of Digital Pathology, both from Yale School of Medicine.
We're talking about how new tools are going to be incorporated into clinical practice, and the impact of these new tools in various practice settings, such as academic medical centers, community outreach, and private practice. What does this mean for the training of the next generation of pathologists? We're only human, after all, but what about machine algorithms? What level of mistakes or "misses" is allowable? And what if these tools are too sensitive, could they actually slow us down and make life more complicated for us?
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