VIDEO: Segmenting the Radiology Artificial Intelligence Market by Function

"Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute chief science officer, discusses the breakdown of radiology artificial intelligence (AI) market into several categories. He breaks AI down into 4 areas: Tasks that humans can do but can be automated, tasks humans cannot do and only AI can perform, human supervised AI work, and autonomous AI work.

"Today, we live in that quadrant of things humans can do and humans are supervising," Dreyer explained. "That is all the [U.S. Food and Drug Administration (FDA)] approved AI stuff that we see today."

He said the next step is for AI to move into the realm of superhuman work, such as measuring 1,000 lymph nodes at once, or to make a risk prediction about future events in the next two years based on the patient's prior 40 images, because it looks like a million other patients' scans. Dreyer said the FDA is in discussions with vendors on fully autonomous AI for radiology applications, but the agency wants to see controls built into the software.

"We are still just a little bit off into the future for that technology," Dreyer said. "And super-human autonomous AI is way out into the future."

According to Dreyer, the FDA has different levels it assesses AI algorithms, ranked from easy tasks to the very complex. He said nearly all the AI cleared by the FDA to date are from the easy categories. There are none from the most difficult level, where there also is a lot of concern regarding liability or the potentially serious impact on patient outcomes if the AI is wrong..." Lire la suite