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.

Better together: Radiology researchers see improved results when combining AI models

Ensemble learning—the combination of multiple AI models into a single model with a single purpose—can lead to better overall results, according to new research published in Radiology: Artificial Intelligence.

Lunit’s AI solution for x-ray analysis gains CE certification

Lunit, a medical software company based out of South Korea, has gained CE certification for its newest chest x-ray analysis solution, Lunit INSIGHT CXR.

Ultrasound-visible clips prove practical, cost-effective for guiding breast surgery

Biopsy clips can outperform conventional wires for localizing breast cancers, as the former may boost utilization of ultrasound guidance for tumor resection, in the process minimizing patient discomfort while helping control costs.

Q&A: George Shih previews RSNA 2019, discusses AI’s impact on radiology

RSNA 2019 in Chicago is just days away, and the continued evolution of AI in radiology promises to be one of the hottest topics of the entire conference.

Imaging data help AI models predict lymph node metastasis

Deep learning models can be trained to predict lymph node metastasis in breast cancer patients, according to new findings published in Radiology.

Radiology efforts over past decade led to 20% drop in patient’s radiation dose, report shows

Radiology has undertaken many efforts to reduce patient exposure to radiation during imaging exams, and findings from a new report suggest those campaigns have made a significant impact.

How AI-powered triage impacts radiology, radiologists

AI can provide significant value to radiologists by sending urgent imaging studies to the top of their worklists, according to a new analysis published in Academic Radiology.

How radiology trainees can keep up with AI

The rise of AI is one of radiology’s biggest trends of the last decade, a move that has energized some radiologists while worrying others.

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