In the news this week: radiology’s role in sports reports; and radiographer stress. This week’s articles in Diagnostic Reading include: radiologists play central role in pre-signing athletes; RSNA 2019 to expand AI Showcase; provider stress can affect patient safety; imaging market (and challenges) could rise in

Imaging revenue and ‘collimation creep’ are in the news this week. This week’s articles in Diagnostic Reading include: strategies to capture revenue; healthcare organizations still hit hardest by data breaches; AI obtains additional info from radiology reports; X-ray cropping can lead to ‘collimation creep’; and Canadians

Headlines this week: radiologists’ salary continues to grow; the role of blockchain in teleradiology. This week’s articles in Diagnostic Reading include: the average salary of radiologists continues to grow; how blockchain can impact radiology; improving ergonomics for radiologic technologists; what young doctors/trainees think of interventional radiology;

Burnout in radiology is in the news this week. This week’s articles in Diagnostic Reading include: a SIIM discussion on a significant hurdle in radiology and AI; battling radiologist burnout; reviewing the relationship between speed and accuracy in radiology; using AI to help detect AAAs; and

The week’s top developments in medical imaging. This week’s articles in Diagnostic Reading include: how value-based care affects radiology; social media views of radiology and AI; physicians and radiologist reports; deep learning improves heart disease diagnosis; and DBT vs. FFDM. How value-based care is affecting radiology –

The week in numbers for radiology: 4 challenges, 7 steps, and 10 things to know. This week’s articles in Diagnostic Reading include: four priorities for using AI in medical imaging; 7 steps to help get the ‘perfect’ job in radiology; a mid-year review of the

Precision medicine and smartphones in healthcare are in the headlines this week. This week’s articles in Diagnostic Reading include: a possible breakthrough for precision medicine; how smartphones are used as medical devices; deep learning more efficient in predicting lung cancer outcomes; strategies to improve patient experiences; and combined DBT, DM