In 2016, the AI pioneer Geoffrey Hinton declared that 'people should stop training radiologists now' because 'it's just completely obvious that within five years, deep learning is going to do better than radiologists.' He was half right. Today, the FDA has approved more than 1,000 AI radiology tools, some capable of analyzing medical images to detect injuries or diseases with greater accuracy than human specialists. Yet radiologists'human ones'are in more demand than ever. Since 2016, the number of radiologists has risen by 17 percent, the field's vacancy rates are near all-time highs, and the average salary has increased from about $350,000 to $570,000, making radiology the third-highest-paid medical speciality in the United States. Many people now fear that AI will make a huge number of careers obsolete. Last year, Anthropic CEO Dario Amodei claimed that AI would soon 'wipe out half of all entry-level white-collar jobs.' But the radiologist story suggests that whether AI will...
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