Will AI take over radiology?

AI can free radiologists from mundane tasks and improve their efficiency, but human involvement will remain critical to solving complex problems that call for rapid change. Similar to the advent of autopilot in aviation, AI will augment radiologists’ work rather than replace it. Curtis Langlotz, a radiologist at Stanford, said: “AI won’t replace radiologists, but radiologists who use AI will replace radiologists who don’t”.

What is the future of AI in radiology?

With the growing acceptance of AI among medical professionals and regulatory bodies, this technology will take over radiologists’ repetitive tasks and become their essential reference tool.

When was AI introduced in radiology?

The first use of AI in radiology dates back to 1992 and was used to detect microcalcifications in mammography. Arterys, the first AI-based FDA-approved medical imaging solution, was certified in 2017.

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