Explore the critical importance of quality control in medical AI applications for CT imaging in this insightful talk by Dr. Guang-Hong Chen from the University of Wisconsin-Madison. Delivered as part of the Deep Reconstruction Workshop at Yale University, learn about the challenges and solutions for implementing effective quality checks in AI-driven CT analysis. Gain valuable insights into ensuring the reliability and accuracy of AI algorithms in medical imaging, and understand the potential impact on patient care and diagnostic precision.
Bring Quality Check Back in Medical AI CT Applications
Overview
Syllabus
Bring Quality Check Back In Medical AI CT Applications
Taught by
Yale Radiology and Biomedical Imaging
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