Error Analysis of Physics-Informed AI for Cardiac MRI T2 Quantification

This research explores the accuracy of AI models in a medical imaging context, specifically analyzing errors in T2 quantification within cardiac MRI. The use of physics-informed neural networks is a promising approach for improving the reliability of AI in medical diagnosis.