A new AI model named TagGen can restore low-quality cardiac MRI scans to useful diagnostic quality.
Key Details
- 1Biomedical engineers, radiologists, and cardiologists developed the TagGen AI model.
- 2TagGen is designed to enhance the sharpness and details of blurry cardiac MRI scans.
- 3The model was trained, validated, and tested on over 2,000 MRI images collected from a single hospital between August 2022 and June 2024.
- 4Improved image sharpness aids in visualizing muscle movements and diagnosing cardiac dysfunction.
Why It Matters
Enhancing the quality of suboptimal MRI scans with AI can help increase diagnostic accuracy, reduce repeat scans, and improve patient care, especially in cases where high-quality imaging is difficult to obtain.
Source
Cardiovascular Business
Related News
•Radiology Business
Women's Uncertainty About AI in Breast Imaging May Limit Acceptance
Many women remain unclear about the role of AI in breast imaging, creating hesitation toward its adoption.
•AuntMinnie
Stanford Team Introduces Real-Time AI Safety Monitoring for Radiology
Stanford researchers introduced an ensemble monitoring model to provide real-time confidence assessments for FDA-cleared radiology AI tools.
•AuntMinnie
Head-to-Head Study Evaluates AI Accuracy in Fracture Detection on X-Ray
A prospective study compared three commercial AI tools for fracture detection on x-ray, showing moderate-to-high accuracy for simple cases but weaker performance in complex scenarios.