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
Framework Assesses Real-World Financial Impact of Radiology AI Adoption
A new analysis presents a financial calculator for objectively assessing the return on investment (ROI) of implementing radiology AI solutions.
•Radiology Business
AI Technique Unveils Previously Hidden MS Gray Matter Lesions on MRI
Researchers developed an AI-enhanced method to detect previously invisible gray matter lesions in multiple sclerosis using MRI.
•Radiology Business
Majority of Patients Want Disclosure When AI Used in Imaging
A new survey finds that nearly all patients want to be informed when AI is utilized in medical imaging interpretation.