Error Analysis of Physics-Informed AI for Cardiac MRI T2 Quantification
Published:Dec 16, 2025 09:09
•1 min read
•ArXiv
Analysis
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.
Key Takeaways
Reference
“The research focuses on error bound analysis.”