Nine years ago, Nobel laureate Geoffrey Hinton warned, "People should stop training radiologists now," predicting that AI would eclipse human experts within five years. Today, radiologists remain in high demand, with the American College of Radiology projecting growth through 2055. At the Mayo Clinic in Rochester, Minnesota, AI has become a powerful ally rather than a job killer. Teams of scientists and software engineers have developed more than 250 AI models to sharpen images, flag abnormalities and predict disease. Dr. Theodora Potretzke calls one tool that measures kidney volume "a good example of something I’m very comfortable handing off to A.I. for efficiency and accuracy." Radiologists still advise surgeons, counsel patients and interpret complex medical histories—but more efficiently. Mayo Clinic Platform president Dr. John Halamka insists, "Five years from now, it will be malpractice not to use A.I.," and Hinton now agrees that AI will "make radiologists a whole lot more efficient" rather than replace them. That’s the evolving role of AI in medicine today.
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