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Technology Management

 

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.

Social media platforms have quickly become dominant outlets to discuss healthcare, including lung cancer-specific topics across the cancer prevention and control continuum.

 

Recent Headlines

No, Health Imaging Is Not Trailing Behind Health IT

The computerization of healthcare continues to speed forward, and it’s not exactly flying below the radar. From mHealth to health-specific AI, from patient portals to portable patient data—to any of half a dozen other areas of techno-advancement currently generating buzz—it sometimes seems as though anything and everything having to do with HIT is a hit.

Artificial Intelligence in Radiology: The Game-Changer on Everyone’s Mind

AI’s Impact Will Be Monumental—Will Radiologists Go Along for the Ride or Be Left in the Dust?

New AMA initiative ties together health, tech sectors

The amount of healthcare data that currently exists is extensive—to say the least. The need for a single platform to house this vast amount of data and is vital. A new initiative from the American Medical Association (AMA) invites representatives from health and technology sectors to collaborate in solving this problem and attribute to a new era of patient care.  

Radiologists leverage AI to characterize cancerous breast lesions

Artificial Intelligence (AI) can now determine whether high-risk breast lesions (HRLs) are likely to become cancerous, in turn avoiding unnecessary surgery in nearly one-third of patients, according to a new study by researchers from Massachusetts General Hospital and Harvard Medical School in Boston. 

CAD use for digital screening mammography remains stable

In the last 10 years, the Breast Cancer Surveillance Consortium (BCSC) has released numerous studies that show computer-aided detection (CAD) for screening mammography can lead to decreased radiologist reading accuracy. According to a recent study published by the Journal of the American College of Radiology, however, CAD use at digital screening mammography facilities remained stable from 2008 to 2016.

UC Berkeley to use $13.4M NIH grant to improve neuroimaging

Researchers at the University of California, Berkeley have lofty goals. They want to use a $13.43 million grant from the National Institutes of Health to improve functional MRI techniques to improve resolution in imaging by a factor of 20.

Researchers develop new smartphone app to make radiology consultations more efficient

Consultation services are becoming more and more important in radiology, but organizing an efficient system where someone is always available to answer questions is no easy task. Researchers developed a smartphone-based application that aims to make radiology consultation much simpler, detailing their experience in the Journal of the American College of Radiology.

Abbott receives MR-conditional labeling approval for Ellipse ICD

Abbott Laboratories received the U.S. Food and Drug Administration (FDA)’s approval for magnetic resonance (MR)-conditional labeling for its Ellipse implantable cardioverter defibrillators (ICD).

20% of US women aware of primary breast cancer screening risks

According to a new survey, a majority of U.S. women remain unaware of overdiagnosis and overtreatment, two of the biggest risks associated with breast cancer screenings.

Fujifilm announces launch of Synapse VNA 6.4

Fujifilm Medical Systems U.S.A. announced Wednesday it has launched the latest version of its Synapse VNA system, Synapse VNA 6.4.

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