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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Radiologists can reclaim an hour every day with AI assistance

The AI software assisted in various tasks, such as segmenting, labeling and measuring normal structures, providing an automated analysis of pulmonary, cardiac and musculoskeletal findings.

Example of various breast MRI protocol sequences that offer different types of soft tissue enhancement. Imaging performed on a Siemens Magnetom system. Breast MRI can help see through dense breast tissue to better detect cancers. #densebreasts #Breastdensity #BreastMRI

Contrast enhanced breast MRI superior to CEM, but accessibility remains an obstacle

In addition to CE-MRI's increased sensitivity for identifying breast cancers, the researchers also found the modality had superior negative likelihood ratios with higher pre-test probabilities for safely ruling out malignancy. 

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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. 

There have been a big increase in interest in cardiac CT following the publication of the 2021 ACC Chest Pain Evaluation Guidelines, which raised CT angiography (CTA) to a 1A level of evidence. This has prompted many centers to consider creating CTA programs.

VIDEO: Cardiac CT training requirements for radiologists and technologists

Brian Ghoshhajra, MD, division chief, cardiovascular imaging, Massachusetts General Hospital, explains what specialized training is needed to perform coronary computed tomography angiography (CCTA) as interest rapidly rises in this field. 

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. 

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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