A $1 million data science contest organized by Booz Allen Hamilton asked entrants to design deep-learning algorithms to identify lung cancer using just 2,000 images—a small data set in the machine learning world. While the winning entry won’t necessarily be used in clinical settings, the contest highlights the potential for crowd-sourcing inspiration.  

Direct Orthopedic Care (DOC), a group of orthopedic-only urgent care clinics for adults and children, has selected Konica Minolta Healthcare, as its preferred provider for diagnostic imaging and Healthcare IT solutions across several new facilities in Texas and California.

Researchers from the department of radiology at Memorial Sloan Kettering Cancer Center tracked improvements after implementing an image quality reporting system in their clinical practice. The PACS-integrated software allowed radiologists to quickly and easily fill out incident reports for a variety of issues, including missing images, incomplete documentation and labeling, and problems with the image library.

What happens when diagnosis is automated? In a future where computer-aided detection swells to include machine-learning algorithms with millions of reads of experience, what happens to physicians? According to computer scientist Sebastian Thrun, machine learning will augment the physicians brain, not replace it.

Lawrence Carl, MD, is the medical director for Main Street Radiology (MSR) in Queens, N.Y., a board-certified radiologist and assistant radiology professor at Weill Cornell. His medical director responsibilities include keeping an eye out for emerging technologies to positively impact workflow and patient care in outpatient radiology. To that end, Dr. Carl leads MSR administration and technology professionals to multiple educational events each year.

HIMSS 2017 was in Orlando, Fla., last month, and officials at FUJIFILM Medical Systems U.S.A., Inc. say it was yet another hugely successful show for the company. 

Streaming technology is the future made present to those who want to watch movies anywhere at any time. It’s becoming the same thing to radiologists, clinicians and patients who want mobile access to medical images.

Students at Baylor College of Medicine in Houston, Texas, are gaining access to a new educational resource called Radiology-TEACHES (Technology Enhanced Appropriateness Criteria Home for Education Simulation), which aims to give students more in-depth knowledge about medical imaging tests.