NYSE:GEHC 31 August 2025 - 29 April 2026

Not long ago, headlines confidently predicted that artificial intelligence would overtake radiologists by the 2020s. In 2016, AI pioneer Geoffrey Hinton famously suggested we should “stop training radiologists” because deep learning would outperform them within five years newrepublic.com newrepublic.com. Similar forecasts in top journals and tech forums envisioned algorithms reading X-rays and scans with super-human accuracy, putting radiologists out of work. Radiology trainees grew anxious, even choosing other specialties, fearing a career that might not exist newrepublic.com newrepublic.com. Fast-forward to 2025, and that prophecy clearly did not come true. “Eight years have passed, and Hinton’s prophecy… did not come true; deep learning can’t do what a radiologist does,” wrote radiologist Arjun Byju, reflecting on the unrealized replacement of his field radiologybusiness.com. In fact, rather than an oversupply of radiologists, many countries face a shortage of them. Byju notes that some imaging centers now have backlogs of months, waiting for a human radiologist to read studies radiologybusiness.com. Demand for imaging has exploded, outpacing the growth of the radiologist workforce – a gap that early AI hype did not anticipate.