AI chatbots reading X-rays can be dangerously confident even when they're wrong

A new benchmark called RadLE 2.0 reveals that many AI models in radiology deliver incorrect findings with full confidence, while human radiologists still outperform them. The benchmark tests whether AI can recognize when to defer diagnosis to a human, highlighting the need for models to learn when to say nothing before they can diagnose independently.