In PET imaging, the amount of radiotracer dose correlates with the level of image quality. But what if artificial intelligence (AI) could enable PET to be performed using only 1% of current dose levels -- speeding exam times, decreasing radiation exposure, lowering costs, and alleviating shortages in radiotracers? By Erik L. Ridley, AuntMinnie staff writer

By detecting high-risk plaque, coronary CT angiography (CCTA) can predict major adverse cardiovascular events in patients with stable chest pain, according to a January 10 study in JAMA Cardiology. But the jury is still out on whether CCTA findings should be... By Brian Casey, AuntMinnie.com staff writer

A deep-learning algorithm that analyzed FDG-PET was able to differentiate between normal cognition and dementia by Wayne Forrest, AuntMinnie.com staff writer

The guidance details the agency's stance on device design, testing, and quality system requirements. By Abraham Kim from auntminnie.com

Anywhere you saw a crowd of people at this year's RSNA meeting, there was artificial intelligence (AI), says Michael J. Cannavo, aka the PACSman from auntminnie.com

There is a sexually transmitted infection that is very common but little known to most people. One Aussie company wants to help fight it from smh.com.au

RSNA 2017 Video: How will radiologists do their jobs in the future? Addressed by Dr. Elliot Fishman of Johns Hopkins University from www.auntminnie.com

The past year has witnessed huge advances in the development of artificial intelligence (AI) for healthcare applications. What impact will this new generation of AI software have on radiology? Dr. Paul Chang of the University of Chicago offers his thoughts in this interview. From www.auntminnie.com

Radiologists are being told they need to interact more with patients, but this is easier said than done. What are the barriers that can impede radiologist-patient interaction, and how can they be overcome? Dr. Jennifer Kemp of Diversified Radiology in Colorado gives some suggestions. From www.auntminnie.com

Innovations in medical imaging have often been the product of multi-disciplinary efforts, harnessing biomedical science with physical science and engineering.