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.

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.

Looking back on my career as a radiologist—now in its 22nd year and counting—I see three themes consistently guiding my “work-life balance.” These would be control, culture and lifestyle. Let me explain.

In 2020, a growing health system in the Northeast asked vRad for assistance. Like many providers around the country, all of its hospitals were struggling with physician shortages that largely stemmed from recruiting challenges.

Radiologists have an important choice to make at the beginning of their careers: do they want to start a fellowship after their residency or immediately join a radiology practice?

The United States has faced a growing shortage of physicians for some time. This long-term trend—coupled with the pandemic and increased imaging demand throughout 2021—have led to a highly competitive radiologist employment market at a time when practices find themselves short-staffed, overworked, and in need of relief.