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Could 'Google Brain' create technology to aid radiologists?

Google researchers, who have put their machine-learning expertise to work with consumer products like Translate and Images, are now stepping into the realm of healthcare.

How deep learning, image recognition are assisting Chinese radiologists

According to Forbes, lung cancer is the leading cause of death in China. With thousands of people being affected, it is increasingly difficult for radiologists to examine hundreds of images each day with complete accuracy.

LI-RADS reporting can reduce costs of liver cancer treatment

The implementation of standardized reporting for suspected hepatocellular carcinoma improved consistency and clarity, according to an article published in the Journal of the American College of Radiology.

AI technology expands capabilities—and what that means for radiology

Radiologists aren't going to be replaced by computers tomorrow, but Denver-area radiologist and Forbes contributor Paul Hsieh acknowledges the rise of deep learning AI technology has opened the door to medical work previously thought to be out of reach of automation. 

Budding AI system for radiology draws $7 million investment

An Israeli startup has received a $7 million funding boost to speed its radiology-specific AI product toward the market. 

Ohio rad discusses dosage risk, reward in biz magazine

A cost-benefit analysis is a crucial exercise in determining the need for any radiological exam. Columbus CEO, a business magazine focused on central Ohio, dove into the topic with an interview with Thomas Buse, MD, medical director of radiology at OhioHealth Riverside Methodist Hospital.

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. 

MRI machines can cause serious damage if patients, professionals aren't careful

A recent article in the Boston Globe outlined various dangers associated with MRI scans.

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.

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