LLM Diagnostic Errors Cause Higher Deference in Non-Expert Users

A new study demonstrates that non-clinical users frequently accept incorrect LLM-based medical diagnoses, whereas trained clinicians successfully identify and correct AI hallucinations. Expertise levels significantly dictate the safety and reliability of AI-assisted medical workflows.