fbpx

Featuring the Minnies winners, billing code changes, a breast cancer AI success story and more.

It just wouldn’t be October without a reference to the winners of the Minnies – AuntMinnie.com’s annual radiology awards. Now in their 20th year, the Minnies are radiology’s top awards program, with winners in 15 categories selected from more than 200 semi-final candidates. There are too many to mention by name, so check them all out in this article.

There was also great news for fans of AI in radiology. A team of scientists from New York University, working in tandem with AI, were able to diagnose breast cancer with an accuracy of 90%. The AI was trained using hundreds of thousands of digital mammography exams equating to more than a million images and was able to identify changes that cannot be seen by the human eye. The human members of the team used their reasoning to make connections and conclusions that the AI had missed.

Another exciting technology development was the announcement that UC San Diego Health is testing a new handheld device for detecting and breaking up kidney stones. The Break Wave device uses ultrasound pulses to locate and demolish deposits using less pressure than current approaches.

In perhaps less exciting but no less important news, the 2020 update to the ICD-10-CM1 medical insurance claim billing system became effective in October. Despite the fact that many new codes were added, and several existing codes were deleted or revised, there thankfully won’t be much impact on the day-to-day work of radiologists.

And finally, in October we announced our collaboration deal with healthcare giant Bayer and our look ahead to what’s happening at RSNA 2019. Speaking of RSNA, be sure to sign up for our new webinar Evaluating AI at RSNA 2019, which will give you the insight you need to quickly get to the point when it comes to evaluating AI applications on the show floor.

Stay tuned for more industry news next month!