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. 

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NIH grants $3.5 million toward researching COVID's neurological impact

The funds will be allocated specifically toward neuroimaging and cognitive and immunological tests to explore if and how mild and asymptomatic SARS-CoV-2 infections have a long-lasting impact on neurocognitive function. 

CT scan showing lung cancer nodules with measurements of each nodule to track growth or regression from treatment. Image courtesy of RSNA

Downgrading lung nodules at 3-month follow-up 'may be problematic'

A new analysis suggests that follow-up imaging protocols for certain lung nodules identified via CT may need to be revisited. 

Predicting healthcare utilization in COPD patients using CT and machine learning

Combining CT lung measurements with machine learning models to predict prognosis in COPD patients could help to lessen their reliance on emergency services. 

rib fracture broken ribs

Advanced MSK imaging trio—CT, MR, ultrasound—justified for certain trauma patients upon incident and over time

The comprehensive approach may be warranted for patients whose musculoskeletal injuries include fractures of the costal cartilage. 

NRC petitioned by patient advocacy group to require reporting of extravasation

The group is advocating for the NRC to treat significant extravasations in the same manner as any other reportable medical event. 

DiA Imaging Analysis, which specialized in developing the AI-based automated cardiac ultrasound solution LVivo Seamless. The technology is now integrated through partnerships with dozens of healthcare vendors, including ScImage, GE Healthcare, Philips Healthcare Konica Minolta and IBM Watson.

ScImage latest vendor to adopt DiA Imaging Analysis AI for echocardiography

Artificial intelligence vendor DiA has emerged as a key third-party provider of AI to larger imaging vendors.

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Deep learning models predict COPD survival based on chest radiographs

Recently, experts explored the efficacy of two deep learning models for grading COPD severity based on chest radiographs—a method that has not yet been thoroughly tested.

mammography mammogram breast cancer

‘You Only Look Once’ helps detect, classify lesions on deceptively normal screening mammograms

Researchers have combined three emerging technologies to detect and classify breast cancers found in follow-up imaging of women whose recent screening mammography was deemed normal.