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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

RBMA 2017 PaRADigm: Q&A: Jim Hamilton on member education, MACRA and a brand new annual meeting

2017 is a year of significant change for RBMA. This year, the association has consolidated its two largest annual meetings—Radiology Summit and the Fall Educational Conference—into one larger meeting: RBMA PaRADigm.

Jim Hamilton, MHA, CMM, is the president of RBMA and the administrator and business manager for Medical Imaging Physicians, an 18-radiologist practice in Dayton, Ohio. Hamilton spoke with Radiology Business Journal about RBMA PaRADigm and also touched on how significant changes in the imaging industry have impacted 

The Future Is Now: Massachusetts General Hospital Embraces Deep Learning

Deep learning, artificial intelligence (AI) and automation are gaining more and more momentum in radiology. While some physicians are slow to embrace this vision and trend, fretting over their own job security, others in the industry are inspired by the endless possibilities. The long-term vision positions AI at the center of momentous change in radiology while also pushing the practice of medicine, disease management and physician efficiency forward at a rapid pace. 

Precision medicine software for radiation oncology to be created by Oncora, MD Anderson

Oncora Medical, a radiation oncology software company, and the University of Texas MD Anderson Cancer Center are partnering to combine tools for collection and prediction of oncology outcomes to enable precision radiation oncology.

Missouri reactor could bolster U.S. supply of technetium at crucial time

The University of Missouri Research Reactor has filed an application to produce molybdenum-99, a precursor isotope to technetium-99m, a radiotracer used in more than 16 million nuclear medicine procedures in the U.S. every year.  

Molybdenum-99 (Mo-99) is produced at a select few reactors across the world, with none located in North America after the October closing of the National Research Universal Reactor in Ontario, Canada. Once approved, the Missouri reactor would serve as the sole domestic source of molybdenum, fulfilling almost half of the U.S. demand.

Dosimetry using average-sized phantoms leads to considerable errors

The use of non-size-dependent reference phantoms to calculate CT dose can lead to errors in calculating the radiation received by a patient, according to an article published in the American Journal of Roentgenology. Using data from the National Lung Screening Trial, researchers found using an average height and weight to calculate dose can lead to errors of up to 200 percent when compared with a more accurate estimate using a particular patient’s height and weight. 

MRI useful for second look at inconclusive mammograms

MRI can be a useful tool for taking a second look at mammograms that are considered inconclusive in a process known as “problem-solving MRI," but radiologists should be cautious about the possibility of false negatives, according to a study published in the American Journal of Roentgenology.

Toshiba America Medical Systems wins $828 million for radiology systems

Toshiba America Medical Systems has been awarded $828 million contract from the Defense Logistics Agency to aid in radiology systems, accessories and training for the U.S. Air Force, Army, Navy, Marine Corps and federal civilian agencies.

MRI illuminates changes in astronauts' gray matter

A new study has detailed what spaceflight can do to the shape and consistency of the human brain. Researchers examined structural MRIs of astronauts and found considerable changes in the gray matter in various sections of the brain.

Philips announces state-of-the-art interventional system

Virtual reality was trumpeted as the next step in entertainment in 2016, so it’s no surprise that it’s making its way into medicine as well. Royal Philips announced a next-generation hybrid operating room system, combining 3D x-ray with optical imaging for spine, cranial and trauma surgery.

Caltech scientists develop way to visualize gene expression using MRI

Scientists from the California Institute of Technology (Caltech) have developed a method to visualize gene expression in cells using magnetic resonance imaging (MRI).

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