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Technology Management

 

As the influence of social media platforms such as Twitter and Facebook grows, healthcare specialists have started adopting specific hashtags on those platforms to reach the largest number of users possible. In interventional radiology, for instance, the preferred hashtag is #IRad. Researchers tracked the evolution of that hashtag on Twitter, publishing their results in the Journal of Vascular and Interventional Radiology.

During a 2016 simulation exercise, researchers evaluated the ability of 32 different deep learning algorithms to detect lymph node metastases in patients with breast cancer. Each algorithm’s performance was then compared to that of a panel of 11 pathologists with time constraint (WTC). Overall, the team found that seven of the algorithms outperformed the panel of pathologists, publishing an in-depth analysis in JAMA.

At RSNA 2017 in Chicago, artificial intelligence (AI) and deep learning technologies were everywhere. Attendees rushed to learn as much as possible about AI, countless educational sessions touched on the topic and exhibitors made sure to mention it in their booths as much as possible. I wouldn’t quite say AI took over the show like some have suggested, but it did make quite an impression on everyone walking through the doors of McCormick Place.

The buzz around social media in radiology has skyrocketed in recent years, with more and more departments, private practices and specialists starting to use using the various platforms to their advantage. Of course, it’s about more than just using sites such as Facebook, Twitter and Instagram; to get the most out of these resources, one must also learn the differences between them.

Interest in artificial intelligence (AI) and machine learning at RSNA 2017 seems like it’s unprecedented—but the increased attention is quantifiable. More than 100 sessions delve into the topic at this year’s show in Chicago. Two years ago, less than 10 touched on such concepts.

 

Recent Headlines

Telemis to launch updated imaging software at RSNA

Belgium-based Telemis, a medical imaging, archiving and transmission company, has completed work on the next generation of its PACS.

Rage against the machine? Not so fast, radiologists

We’ve all seen the news stories and journal articles that warn of radiology’s demise at the hands of machine learning—heck, I’ve written about some of them myself—but the results of a recent patient survey should make radiologists feel good about the future of their profession. 

Radiologist creates app that simplifies how we talk about radiation exposure

As concerns about radiation exposure continue to grow, both patients and physicians are looking for ways to quantitatively understand the dangers and consequences of getting too much. 

Agfa Healthcare seeks validation for image exchange platform

Agfa Healthcare has joined the RSNA Image Share Validation Program as a pilot vendor, in a bid to receive validation for their Enterprise Imaging platform.

Educating patients about radiology services—with YouTube?

Patients' perceptions have never been more important to radiology than in the year 2016. Radiologists are being asked to define and demonstrate their value, and a significant part of that is educating patients about medical imaging and the role radiologists play. According to a recent study published by the Journal of the American College of Radiology, educational videos about medical imaging uploaded to YouTube are a potentially valuable patient resource.

Brain wave recordings could relieve migraine, hypertension

Playing back the brain’s own abnormal electrical waves back to itself as sound waves can help those electrical wave sort themselves out, suggests new research from Wake Forest School of Medicine.

 
Disposable colonoscope receives FDA 501(k) clearance

GI View Ltd. have received FDA 501(k) clearance for their Aer-O-Scope Colonoscope System, which is disposable and self-propelled with a joystick control.

Is this the end? Machine learning and 2 other threats to radiology’s future

Radiology is one of the cornerstones of modern healthcare, but according to a new analysis published by the Journal of the American College of Radiology, machine learning could potentially end the specialty as we know it within the next decade. 

Neutron Therapeutics, Finnish hospital group partner to offer nuclear cancer treatment

Neutron Therapeutics and Helsinki University Hospital (HUH) have partnered up to offer nuBeam suite for boron-neutron capture therapy (BNCT) at the hospital's cancer center. The partnership will utilize and further develop BNCT to be used in clinical settings.

Varian Medical Systems receives FDA approval for single imaging platform

Varian Medical Systems has received approval from the FDA to market its Nexus DR imaging system capable of producing high resolution images using a digital x-ray detector.

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