Health officials south of the border may soon be able to fight a nasty disease using just their smartphones and an AI tool for reverse image searches.

Royal Philips has rolled out the latest update for its EPIQ CVx and EPIQ CVxi cardiac ultrasound systems, expanding to include automated applications for 2D assessment of the heart and robust 3D measurements of right ventricular volume and ejection fraction.

University of North Carolina-Chapel Hill researchers have developed a new method for creating radiotracers used in PET imaging. The technique may improve imaging of diseases such as cancer, according to the study published in Science.

Cardiac MRI can help providers differentiate between acute and chronic cocaine-induced cardiovascular diseases, according to a new analysis published in Radiology: Cardiothoracic Imaging.

Immuno-PET offers a more efficient diagnosis of inflammation in inflammatory bowel disease (IBD) compared to traditional invasive methods, according to a new study published in the June issue of the Journal of Nuclear Medicine.

Radiology is the medical specialty most conducive to clinical AI applications. After all, the pre-AI technique of computer-aided detection has been used in mammography since 1998, for example. So it shouldn’t come as a surprise to find AI “app stores” rising in radiology.

Using an automated technique to quantify amyloid plaque on PET scans in a patient’s native space can improve the detection of brain amyloid accumulation compared to traditional methods, according to a recent study published in the Journal of Nuclear Medicine.

Proponents of risk-based mammography screening claim the method successfully emphasizes its benefits and minimizes its harms, but new research has found it may not be as effective as age-based screening.