Advanced visualization and artificial intelligence (AI) software developer Coreline Soft is directing attention to recent research involving its coronary artery calcium (CAC) image analysis software.
In a population study involving 997 participants from the Robinsca CAC screening clinical trial in Europe, the company's AI-based Aview CAC software yielded 99.2% accuracy for categorizing risk compared with an experienced reader's interpretation of the low-dose CT exams, according to the researchers from the Institute for Diagnostic Accuracy (iDNA) at the University Medical Center Groningen in the Netherlands.
"The deep learning-based software for automatic CAC scoring can be used in a cardiovascular CT screening setting with high accuracy for cardiovascular risk categorization and initiation of preventive treatment," said senior author Dr. Matthijs Oudkerk, PhD, in a statement from Coreline.
Oudkerk was also principal investigator for radiology in the Dutch-Belgian Randomized Lung Cancer Screening (NELSON) study.
The CAC research was published online on August 18 in JACC: Cardiovascular Imaging.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
