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.

medical school students appropriate use criteria imaging

Appropriate use of imaging proven teachable during medical ed

Radiology education researchers have created an image-intensive online course for third- and fourth-year medical students wishing to learn radiology remotely.

artificial intelligence in radiology medical imaging interpretation

Interpretive AI for medical imaging: 5 points of skepticism, idealism

Surveying the landscape of interpretive AI in radiology, two researchers note a yawning gap between great expectations set in the recent past and actual clinical implementations as of spring 2023.

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. 

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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.

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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.

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.

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. 

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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. 

Around the web

GE HealthCare designed the new-look Revolution Vibe CT scanner to help hospitals and health systems embrace CCTA and improve overall efficiency.

Clinicians have been using HeartSee to diagnose and treat coronary artery disease since the technology first debuted back in 2018. These latest updates, set to roll out to existing users, are designed to improve diagnostic performance and user access.

The cardiac technologies clinicians use for CVD evaluations have changed significantly in recent years, according to a new analysis of CMS data. While some modalities are on the rise, others are being utilized much less than ever before.