Artificial intelligence (AI) and robotics are increasingly positioned as the future of healthcare, promising to transform diagnosis, treatment, and patient care. However, there is a lack of evidence showing that AI-powered systems can reliably deliver in high-pressure clinical settings, where accuracy and speed are critical.

In an attempt to examine the performance of large language models (LLMs) in medical contexts, particularly a real-life emergency room, a new study has found that at least one LLM was able to diagnose patients more accurately than human doctors.…