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
•AuntMinnie
Radiology Receives Declining Share of Industry Research Funding
Radiologists received only 1.1% of industry-funded research payments in 2024, with a continuing downward trend.
•AuntMinnie
GPT-4o AI Matches Radiologists in Follow-Up Imaging Recommendations
GPT-4o matched the performance of experienced radiologists and surpassed residents in recommending follow-up imaging from routine radiology reports.
•Cardiovascular Business
AI Leverages Head CTs for Automated Heart Risk Assessments
AI models can turn routine head CT scans into automated cardiovascular risk assessments, expanding the utility of radiology studies.