Medical Imaging

Physicians utilize medical imaging to see inside the body to diagnose and treat patients. This includes computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, fluoroscopy, angiography, and the nuclear imaging modalities of PET and SPECT.

AI turns low-quality MRI scans into helpful heart images
A team of biomedical engineers, radiologists and cardiologists has developed a new AI model capable of restoring low-quality cardiac MRI scans.
New AI-enabled, helium-free MRI system earns FDA clearance
The scanner requires just 0.7 liters of liquid helium for cooling—a fraction of the more than 1,500 liters standard systems need to operate safely.
How the shape, size and location of calcified carotid plaques affect stroke risk
A new analysis provides further insight into factors affecting plaque stability and subsequent ischemic events
FDA approves expanded use of PET imaging agent
The product's updated indications include quantification and long-term monitoring of amyloid plaques on imaging.
Low dose GBCA effective, safe for pediatric imaging
Although gadopiclenol is approved for adults and children ages 2 and older, there is limited data on its use in the pediatric population.

AI algorithm optimizes CCTA image quality

Deep learning can improve the quality of coronary CT angiography (CCTA) images, according to a new study published in Academic Radiology.

‘One stop’ CT perfusion requires less contrast, radiation dose than CCTA

The new approach offers more comprehensive information with no loss of image quality, and may alter the care landscape for patients with coronary artery disease.

Prediction time: How will AI impact radiology in another 10-15 years?

AI continues to evolve at a rapid pace, with new algorithms and solutions being developed all the time. What kind of long-term impact could these technologies have on patient care?

PET/CT roots out early lung cancer subtypes, may help personalize treatment

Combining fluorodeoxyglucose PET with high-resolution CT can help predict subtypes of early lung adenocarcinoma—a form of cancer that is on the rise.

AI predicts breast cancer risk better than current techniques

AI can identify women at a high risk of developing breast cancer more accurately than existing prediction models, according to a new study published in Radiology.

Molecular imaging approach advances personalized cancer therapy treatment

With this research, clinicians may further their understanding of which drugs will be most effective for cancer therapy plans.

Many can’t understand online breast density information—will that hurt notification legislation?

None of the information on the top breast density websites was written at recommended reading levels, and it may limit the educational goals of new federal breast density legislation.

AI won’t replace radiologists, but it should make them better physicians

AI is almost certain to have a monumental impact on radiology, but what, exactly, will that mean for radiologists?

Medical Imaging

AI turns low-quality MRI scans into helpful heart images

New AI-enabled, helium-free MRI system earns FDA clearance

How the shape, size and location of calcified carotid plaques affect stroke risk

FDA approves expanded use of PET imaging agent

Low dose GBCA effective, safe for pediatric imaging