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.


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.



Pragmatism from cybersecurity to enterprise imaging was in vogue at the 2019 meeting of the Society of Imaging Informatics in Medicine (SIIM). Not unexpectedly, artificial intelligence accounted for much discussion amid telltale cracks in its hype.


Xifin announced the launch of the next evolution of its laboratory information system (LIS), Xifin LIS 6. The expanded platform features enhancements that support high-complexity, high-volume labs, as well as new integrated capabilities available through strategic partners, including artificial intelligence (AI)-powered digital pathology workflow and genomic data interpretation, automated prior authorization and test utilization decision support.Xifin announced the launch of the next evolution of its laboratory information system (LIS), Xifin LIS 6. The expanded platform features enhancements that support high-complexity, high-volume labs, as well as new integrated capabilities available through strategic partners, including artificial intelligence (AI)-powered digital pathology workflow and genomic data interpretation, automated prior authorization and test utilization decision support.

A new clinical guideline from the American Society for Radiation Oncology (ASTRO) provides recommendations on the use of radiation therapy to treat patients diagnosed with pancreatic cancer. Recommendations include when radiation treatments are appropriate, as well as the optimal dosing, timing and fractionation for these treatments. The guideline, which also outlines strategies to prevent and mitigate common side effects of pancreatic radiation therapy, is published online in Practical Radiation Oncology, the clinical practice journal of ASTRO.


In molecular radiotherapy (MRT) treatment of the thyroid, existing single photon emission computed tomography (SPECT) imaging systems are unable to accurately measure radiation absorbed by patients during and after treatment. As a consequence, only limited information regarding the success of radiotherapy treatment has been available. 


Subscribe Now