Bring Quality Check Back in Medical AI CT Applications

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.