The model was developed and validated specifically for liver, spleen and pancreas segmentation, and outperformed a publicly available segmentation model already in use.

Although these tools have proven themselves valuable in numerous settings, they must be used with caution, especially by patients and nonradiologist providers who may be seeking clarification on imaging reports. 

The suit claims the group wrongfully billed CMS for over $6 million in image reads that did not qualify for Medicare reimbursement due to the subpar computer monitors used to view the studies.

The clearance covers the use of Sectra’s digital review application in conjunction with Leica’s Aperio GT 450 DX scanner.

Finding such discrepancies is critical to the continuity of patient care, as medical records and reports are often utilized across multiple providers and facilities. 

ILD-RADS was developed to address issues with inconsistency when reading high-resolution CT scans of the lungs in patients with a suspected interstitial lung disease.

While the latest ChatGPT models show promise in easing the reporting burden on radiologists in the future, they aren't up to the task just yet.

The large language model can identify report errors seven times more quickly than human readers, new study reveals.