Health
AI changes radiology field instead of replacing doctors as once predicted
Nearly a decade after predictions that artificial intelligence would replace radiologists, the technology is instead assisting doctors and driving growth in the field.
The short version
- Despite 2016 predictions that AI would replace radiologists within five years, the medical specialty is growing and adapting to AI integration.
- Artificial intelligence has become highly prominent in radiology, with the technology assisting human doctors rather than replacing them.
- AI is now used to triage urgent images, draft reports, and detect abnormalities that might be missed by the human eye.
Key facts
- In 2016, AI pioneer Geoffrey Hinton predicted that computer systems would replace radiologists within five years.[Ars Technica]
- The number of practicing radiologists is expected to grow by 26 percent or more over the next three decades.[Ars Technica]
- As of early 2026, approximately 75% of the 1,400 FDA-cleared AI-enabled medical devices are designed for radiology.[Ars Technica]
- AI tools in radiology are used to draft reports, flag urgent scans, and identify abnormalities, such as detecting more polyps during colonoscopies as shown in an analysis of 43 clinical trials.[Ars Technica]