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Geoffrey Hinton, an AI pioneer, predicted in 2013 that deep learning would replace radiologists within five years. Seven years later, the world is facing a radiologist shortage due to burnout and aging out of professionals. Despite this, the employment of radiologists is projected to grow 4% between 2021 and 2031, and wages remain high. What happened to Hinton’s prediction? It turns out that radiologists are highly skilled professionals who require 13 years of training, and the field is data-rich, making it a prime target for AI. The job is also highly structured, making it easier for machines to learn.
