Artificial intelligence (AI) is already changing the way radiologists do their jobs. And while much of the action is in mundane task relief, exciting opportunities are emerging for the technology to push radiology’s role in personalized medicine beyond what it could accomplish with human eyes alone.

Ochsner Health System and Vital Images announced today a partnership to deploy an enterprise imaging solution that will support Ochsner and its vision of a multidisciplinary, multifunctional medical image-management system. 

The Medical Imaging & Technology Alliance (MITA) today announced that Zack Hornberger has joined the organization as Director of Cybersecurity & Imaging Informatics.

According to a Jan. 4 release from the Department of Defense, McKesson Technologies has been awarded a $400 million contract for digital imaging network PACS products and maintenance.

Researchers from the Eindhoven University of Technology in the Netherlands recently presented in Nature Communications a newly developed spectrometer small enough to be inserted into a smartphone, according to an Eindhoven University of Technology release.  

The frequency of using musculoskeletal ultrasound (MSK US) outside of radiology has increased by 53 percent from 2003 to 2015, according to a recent study in the Journal of American College of Radiology (JACR).

The same sense of eager anticipation mixed with abject fear that machine learning has been driving into the heart of radiology is piercing pathology too.

As electronic health records (EHRs), interoperability and value-based care have grown more important in healthcare, an increasing number of providers are tasking IT departments with developing, implementing and managing complex enterprise imaging (EI) strategies. And one of the biggest components of any EI strategy is its ability to properly store the massive amounts of data the provider produces on a daily basis.