With the software’s help, the ratio of CTs requiring radiologist review to missed findings identified was 10:1, experts shared, adding that without the help of AI that ratio would be at least 66:1. 

The strategy of combining the two tests improved specificity and positive predictive value in detecting clinically significant cancer compared to PSA alone.  

A new study shows artificial intelligence (AI) algorithms can more rapidly and objectively determine calcium scores in CT and PET/CT images than physicians.

Denoising using deep learning techniques can boost the performance of 1.5T MR brain imaging, resulting in quality comparable or superior to 3T imaging. 

In this cohort, experts found that just 34% of surgeries were performed on symptomatic patients, which shifted their focus to other potential modes of detection.

Joao Cavalcante, MD, director, cardiac MRI and structural CT labs, Minneapolis Heart Institute, discusses the use of cardiac CT imaging to plan and guide structural heart procedures. 

To date, research pertaining to reactive lymphadenopathy has focused mostly on patients with cancer who are routinely staged and monitored via PET/CT or in women undergoing breast cancer screening and/or imaging with mammography and ultrasound.

For specificity—a metric that has been somewhat unpredictable in breast MRI and CEM—the scoring system performed significantly better than BI-RADS.

A new risk analysis suggests the exam will increasingly result in tumor upstaging among high-risk patients.

Specifically, the computer-aided detection (CAD) tool is capable of identifying lesions that are less than 2 cm.