RadNet CEO explains why the heavy investment into AI

RadNet, one of the largest radiology providers in the U.S., has invested millions of dollars into its artificial intelligence subsidiary, DeepHealth, saying the future of imaging depends on creating a unified AI-driven workflow platform rather than deploying isolated software tools. The company had a large footprint on the expo floor of the 2025 Radiological Society of North America (RSNA) meeting and outlined a new type of business plan to role out AI in the real world.

Howard Berger, MD, RadNet chairman and CEO, spoke with Radiology Business in the above video interview, discussing why the company has made a major push into the AI space. He said the strategy differs sharply from the fragmented approach that has characterized much of the radiology AI market over the past several years, where individual algorithms often require separate implementation, maintenance and integration into imaging IT systems.

“The new business model is really taking existing modules and putting them into one continuous stream of managing all of the impacts that occur when one of our patients comes into our centers, both before, during and after their visit,” Berger explained.