“Federated learning,” as it’s called, works by training an algorithm across multiple data servers, without exchanging any images, experts detailed in Scientific Reports. 

That’s according to the results of a recent survey conducted at one private Colorado imaging practice, highlighted in the American Journal of Roentgenology. 

In February and March 2020, the inevitable happened: COVID-19 came to the United States, hitting the country’s healthcare system like a 10-pound sledgehammer. 

It’s cloud software turns preoperative medical images into a 3D “digital twin” of the patient’s heart enabling providers to plan procedures and navigate instruments during surgery.

St. Mary’s Hospital in London launched its pilot in 2019 and early success helped establish remote reading capabilities for nearly all of its rad consultants by the beginning of the lockdown.

The specialty needs to contribute more to the electronic health record to keep pace with data-driven care delivery, one informatics expert said during SIIM's virtual meeting.

New capabilities use interoperability to enable patients and physicians alike to instantly access medical imaging. 

After it’s tested and properly configured during the initial rollout phase, Mayo will gradually introduce the solution across all of its departments in Minnesota, Florida and Arizona.