AI won’t replace radiologists, but it will dramatically change their jobs
A pioneering AI scientist once predicted computers would replace human radiologists. They haven't.
In 2016, Geoffrey Hinton, the Nobel-winning "godfather of AI," predicted that radiologists would be replaced by computers within five years. However, the field of radiology is actually growing rapidly, with the number of practitioners expected to increase by 26 percent or more over the next three decades. Hinton may have underestimated the impact of AI on the job market for radiologists, but his insight that human physicians now have a silicon-based colleague on their team is accurate.
In fact, radiology is the hottest area for AI adoption in medicine, with nearly three-quarters of the 1,400 AI-enabled medical devices approved by the Food and Drug Administration being used in radiology. These AI tools can enhance efficiency by drafting reports and alerting physicians to urgent images. More impressively, some AI systems have the potential to surpass human performance by detecting abnormalities that may go unnoticed by the human eye or interpreting images as well as—and sometimes better than—trained radiologists.
For instance, a review of 43 clinical trials revealed that AI-assisted colonoscopies identify more polyps than traditional methods.
Written by urgent.news from Ars Technica's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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