You can find just about anything in an app store. Soon, that may include artificial intelligence applications for radiologists, as a recent Harvard Business Review article suggested.

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.

Artificial neural networks (ANNs) can help radiologists classify pure ground glass opacities (GGOs), according to a new study published in Clinical Imaging. But they shouldn't rely solely on AI-produced findings.

Coronary artery calcium (CAC) levels spotted on CT scans in middle-age patients were connected to an increased risk of structural heart abnormalities indicative of future heart failure, according to a new study published in Circulation: Cardiovascular Imaging.

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.

Cardiac MRI can detect cocaine’s impact on the cardiovascular system and help differentiate between a wide range of heart diseases, according to a new literature review study published in Radiology: Cardiothoracic Imaging.

The medical imaging industry contributes billions of dollars to state economies, according to three new reports published June 12, by the Medical Imaging & Technology Alliance (MITA). The findings, experts say, provide more reason to permanently repeal the medical device tax.

Researchers created and validated a machine learning model using features taken from baseline, laboratory, electrocardiography (ECG), echocardiography and cardiovascular resonance (CMR) imaging data.

Until now, the $168 million facility was producing limited amounts of Mo-99, a radioisotope used in approximately 85% of all Australian nuclear medicine procedures such as SPECT scans.

Fractional flow reserve derived from CT (FFR-CT) is a superior predictor of long-term outcomes of heart disease compared to traditional coronary CT angiography (CCTA), according to a new study published in Radiology.