By early 2026, the U.S. Food and Drug Administration had cleared about 1,400 AI medical devices, and roughly three-quarters of them were being used in radiology, according to Techub News citing Ars Technica AI. The tools can help doctors draft reports, triage urgent scans and spot abnormalities that may be hard for the human eye to detect. In some image-reading tasks, the report says, AI has even performed better than specialist radiologists. That has not displaced radiologists. Employment in the field is projected to grow by more than 26% over the next three decades. Instead, AI is already acting like a “silicon colleague” and reshaping day-to-day workflow, making radiology one of the leading areas for medical AI adoption.
By early 2026, roughly three-quarters of the about 1,400 AI medical devices cleared by the U.S. Food and Drug Administration were being used in radiology, according to Techub News, citing Ars Technica AI.
The tools are already part of daily radiology work. They can help doctors draft reports, prioritize urgent images, and spot abnormalities that may be difficult for the human eye to detect. In some image interpretation tasks, the report says, AI has even outperformed specialist radiologists.
That has not translated into replacement. The article says radiologists are still expected to see employment growth of more than 26% over the next 30 years.
Instead, AI has become what the report calls a “silicon colleague,” changing how radiologists do their jobs and putting radiology at the front of medical AI adoption.
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