AI Was Supposed to Replace Radiologists by 2025 – Here’s Why It Didn’t
Key Facts From Hype to Reality: AI’s Role in Radiology Today 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
