Diagnostic Imaging

Radiologists use diagnostic imaging to non-invasively look inside the body to help determine the causes of an injury or an illness, and confirm a diagnosis. Providers use many imaging modalities to do so, including CT, MRI, X-ray, Ultrasound, PET and more.

osteomyelitis on MRI

Diagnosing osteomyelitis with abbreviated noncontrast MRI protocols

Using abbreviated MRI protocols for pediatric exams offers similar quality as standard protocols but decreases the need for sedation. 

May 24, 2023
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Solar cell materials could make medical imaging safer, more cost-effective

Not only could the materials reduce patient exposure to ionizing radiation, they also could reduce costs associated with traditional X-ray equipment, according to newly published research in Nature Communications.

May 11, 2023
projected radiation oncology workforce supply and demand

Residency match cycle preference-signaling a hit among radiology programs

Experts from Mayo Clinic recently detailed their experience with the new offering, sharing that out of their 10 top ranked candidates, six had signaled the program.

April 25, 2023
lung cancer imaging features associated with worse outcomes following missed diagnosis

Some imaging features of missed lung cancer indicate worse outcomes

Features pertaining to location, density and superimposed structures were recently found to be associated with poorer outcomes for patients who initially had their lung cancer overlooked on radiographs.

April 19, 2023
Example of data generated by an automated artificial intelligence (AI) brain CT assessment tool from Annalise.ai at RSNA 2022. What does brain imaging look like?

AI company racks up 7 new FDA clearances for image triage and notification solutions

The Australia-based company made the announcement on April 12 in a release that described the timing of these AI-assisted solutions as “increasingly important” amid growing workloads and staffing shortages. 

April 12, 2023
Chest X-ray. Using an explainable artificial intelligence (AI) model, researchers were recently able to accomplish highly accurate labeling on large datasets of publicly available chest radiograph X-rays.. 

Radiologists develop point-of-care AI for chest X-rays

Radiologists used an AI tool-building platform to create their model(s), which allows clinicians the opportunity to develop AI models without any prior training in data sciences or computer programming. 

April 3, 2023

Commercially available AI tool could reduce radiologist workloads by 10% or more

The tool’s sensitivity was recorded as 99.1% for abnormal radiographs and 99.8% for critical radiographs—better than two board-certified radiologists who also interpreted the exams. 

March 7, 2023

6 pointers on POCUS leadership in the ED (and potentially beyond)

Has point-of-care ultrasound outpaced hospitals’ capacity to incorporate the technology without anointing any particular specialty its proper guardian? The case could be made.

January 28, 2023