A.I. Was Coming for Radiologists’ Jobs. So Far, They’re Just More Efficient.

https://www.nytimes.com/2025/05/14/technology/ai-jobs-radiologists-mayo-clinic.html
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A.I. Was Coming for Radiologists’ Jobs. So Far, They’re Just More Efficient.

Contrasting a 2016 prediction by A.I. pioneer Geoffrey Hinton that radiologists would soon be obsolete, this article details how A.I. is actually being used at the Mayo Clinic. Instead of replacing radiologists, the technology has become a powerful tool that enhances their efficiency and accuracy. A.I. assists with tasks like image sharpening, automating measurements, and identifying abnormalities, but human expertise remains crucial for complex diagnosis, patient communication, and advising other doctors. The article concludes that the future of medicine is a collaboration between humans and A.I.

Note

perhaps one day a technology will skip humans ability to course correct, adapt, adopt and evolve.

until then, the pattern remains: technologies don't generally replace humans, but rather make us more efficient. overtime this can lead to a loss of jobs, but we likely will see less people in those jobs as those who adopt evolve to become more productive (or shift their productivity into other places).

communicating this when spreading the news of a finding or building a trajectory of the impact of research and development would best be done more carefully to avoid hype and side stepping complexity.

many university press teams play an unhealthy role in scientific distrust and let downs...

with that said, i appreciate the correction by Dr. Hinton himself.

Published

2025

Summary

Contrasting a 2016 prediction by A.I. pioneer Geoffrey Hinton that radiologists would soon be obsolete, this article details how A.I. is actually being used at the Mayo Clinic. Instead of replacing radiologists, the technology has become a powerful tool that enhances their efficiency and accuracy. A.I. assists with tasks like image sharpening, automating measurements, and identifying abnormalities, but human expertise remains crucial for complex diagnosis, patient communication, and advising other doctors. The article concludes that the future of medicine is a collaboration between humans and A.I.

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