The pandemic delayed breast care for many women. We all know, however, that you can’t put cancer on hold. Combine that with the intensifying shortage of radiologists in this country and we’re seeing more and more patients who desperately need care.

Unrecognized imaging findings are an unfortunate, but undeniable, part of radiology. New advancements in artificial intelligence (AI) and machine learning offer a critical safety net that is improving care and saving lives — as well as avoiding millions of dollars in potential medical malpractice costs.

This radiology group rebuffed a hostile takeover, doubled in size, and expanded into two new states — all while staying independent.

More than two years after the onset of the pandemic, changes in COVID-related policies and postures — as well as accompanying cultural shifts in the workplace — continue to drive trends in the job market for radiologists.

Teleradiology used to be taboo, but now remote radiology jobs are in high demand as radiologists seek more flexibility from their practices.

Burnout is a horrible thing. And while recent research suggests it affects half of all radiologists, women are bearing the brunt – with 56% of female physicians reporting they’re burned out compared to only 41% of their male counterparts.

Medical images have long lived on legacy spinning disk. But healthcare systems are now leaving behind those on-prem, awkward boxes that require too much real estate, IT support and expense. Cloud is the choice to support enterprise imaging. If it feels like healthcare cloud is everywhere, you’re right. And here’s what you need to know to do cloud right.

Today’s most pioneering radiology groups are using artificial intelligence to chase down payments, increase patient satisfaction, relieve front and back office workload, and recoup earned revenues.