RadCalc version 7.1 with the Monte Carlo 3-D module has been released for beta testing to members of the beta testing team. The Monte Carlo 3D module utilizes technology acquired from the McGill University inventors. This release of RadCalc 3Dmc is the second of three 3D Dose Volume second check quality assurance (QA) packages. The completion of the beta test is anticipated in four weeks. An announcement of the final release date will be provided when available for purchase.

Bayer announced the introduction of the Medrad Stellant Flex computed tomography (CT) injection system. Stellant Flex offers the latest CT injection technology from Bayer with a user-driven design, minimal required technologist training, and automation that drives individualized patient protocols and personalized imaging. The system also comes with flexible options for capital equipment through the TechCare program.

iCAD Inc. announced MedTech Breakthrough, an independent organization that recognizes the top companies and solutions in the global health and medical technology market, selected the ProFound AI platform as the winner of its “Best New Radiology Solution” award in the 2019 MedTech Breakthrough Awards program.

Accuray announced that it will showcase its motion-synchronization cancer treatment technologies at the upcoming 2019 American Society for Radiation Oncology (ASTRO) Annual Meeting, Sept. 15 - 18 in Chicago. The company will provide multiple opportunities for attendees to explore its new innovations in patient-first cancer treatments, including booth presentations and demonstrations at its Innovation Pavilion and presentations at the Accuray Symposium.

Imaging Biometrics LLC (IB), in collaboration with the Medical College of Wisconsin (MCW), has received a $2.75 million, five-year grant award from the National Institutes of Health(NIH) - National Cancer Institute (NCI).

September 9, 2019 — The American Society of Nuclear Cardiology (ASNC) published a new expert consensus document along with eight other societies on recommendations for multimodality imaging in cardiac amyloidosis in the Journal of Nuclear Cardiology.  ASNC assembled a writing team of 26 experts in cardiovascular imaging and amyloidosis representing these nine societies: the American College of Cardiology (ACC), the American Heart Association (AHA), the American Society of Echocardiography (ASE), the Eu

Business-to-business communications leader Scranton Gillette Communications has named Diane Vojcanin as vice president, group publisher, healthcare group. Additionally, the company is announcing that Andreja Slapsys will serve as a healthcare group integrated media consultant.

“It’s tough to make predictions, especially about the future.”

— Yogi Berra

Yogi was right. Cars didn’t fly (at least not en masse). And space stations didn’t rotate (at least not on purpose). And these are just a couple examples of technologies that didn’t happen when they were supposed to.

That doesn’t mean, however, accurate predictions couldn’t have been made. The fundamental problem was in misreading conditions.

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images
Greg Freiherr

The use of smart algorithms has the potential to make healthcare more efficient. Sarah Eskreis-Winkler, M.D., presented data that such an algorithm — trained using deep learning (DL), a type of artificial intelligence (AI) — can reliably identify breast tumors in magnetic resonance (MR) images. In doing so, the algorithm has the potential to make radiology more efficient.
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