AI's potential impact on radiation oncology | Intervention improves PI-RADS compliance

As AI technologies continue to evolve, they may be able to make a significant impact on patient care by reducing the amount of time physicians spend sorting through paperwork and documentation.

Selecting a staff member to serve as a director of prostate imaging can improve compliance with technical standards and lead to better overall patient care, according to findings published in the American Journal of Roentgenology.

The impact factor of the American College of Radiology’s academic journal, the Journal of the American College of Radiology (JACR), increased to 3.785 in 2018, according to the 2019 Journal Citation Report.

The Society of Nuclear Medicine and Molecular Imaging (SNMMI) presented two prestigious awards during its 2019 Annual Meeting in Anaheim, California.

Machine learning (ML) can help providers extract all relevant facts from radiology reports in real time, according to a new study published in the Journal of Digital Imaging.

Researchers have developed an algorithm that predicts breast malignancy using a patient's imaging results and detailed health records, sharing their findings in Radiology.

A multidisciplinary task force of 14 European AI experts has come up with a set of broad guidelines for anyone using the technology to analyze big data in healthcare.

In 2017, some 60 percent of physicians reported being “not at all familiar” or “slightly familiar” with MACRA. A meager 8 percent said they were “very familiar” with the legislation. Two years later, anecdotal evidence strongly suggests the lack of understanding persists.