
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
AI Model Uses Ultrasound to Assess Fetal Lung Maturity
Researchers demonstrated an AI model's strong accuracy in measuring fetal lung maturity from ultrasound images.

•AuntMinnie
AI Model Predicts Dosimetry for Lu-177 PSMA Therapy Using PET/CT
A machine learning PET/CT model shows promise for predicting radiation dose prior to Lu-177 PSMA therapy in prostate cancer patients.

•AuntMinnie
AI Advances in Ultrasound Highlighted at AIUM 2026 Keynote
AI is increasingly enhancing ultrasound imaging, clinical workflows, and education, though challenges in trust and implementation remain.