Explainable AI for Health
The University of Texas at Austin AI Heath Lab
Join us as we delve into the world of user-centered explainable AI through conversations with leading researchers, designers, and entrepreneurs. We explore how explainability techniques bridge the “last-mile” between model predictions and actionable insights for patients, caregivers, and healthcare providers to use AI in a trustworthy, fair, and workflow-compatible manner.
The University of Texas at Austin's AI Health Lab is led by Prof. Ying Ding, PhD from the School of information and Prof. Justin Rousseau, MD, MMSc, from the UT Austin Dell Medical School. We focus on cutting-edge research on AI in health and data-driven science of science. On this channel, we interview the foremost experts on Explainable AI in Health.
Hosted by PhD candidate Madalyn Rosenthal and honors neuroscience undergraduate Ian Alrahwan. Produced by Ian Alrahwan.
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