Ed Nicol, MD, president-elect of the Society of Cardiovascular Computed Tomography, provided us with an exclusive look at how AI is expected to change cardiac imaging.

While FIF is an extremely rare condition—occurring in about one in 500,000 births—it is even more rare in triplet pregnancies.

Digitized informed patient consent prior to contrast-enhanced CT exams has significant advantages over traditional paper consent forms, but it also has the unfortunate effect of leaving some of the most vulnerable patients behind.  

Nodular patterns were the most commonly visualized abnormality, although several others were observed.

The solutions, Plaque Analysis and RoadMap Analysis, both use coronary CT angiography to provide clinicians with a noninvasive look at patients who present with coronary artery disease and face a heightened myocardial infarction risk.

These patients are at greatest risk of developing lung metastases within three months of surgery.

Low-dose scans showed high agreement with joint-by-joint rheumatological evaluations. 

“This study implies that future clinical workflows may see AI be used in an adjunct capacity to improve interpretations of CT scans by helping call radiologists' attention to findings that may be overlooked.”